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There’s a future where you win. We engineer it.

The decisions that define your next decade are too complex for intuition and too consequential for guesswork. We compute the path forward.
We transform companies to AI-Native powerhouses.
Book a Mission Brief
See Example Missions
From the battlefield to the boardroom. The best leaders can't afford to guess. So they don't. They use us. And they dominate the ones who still do.
Backed by operators and researchers from
What is RLTX?

The decision layer for complex systems.

Before you commit, we’ve already run it.
We turn your goals into a precise, actionable mission plan
We scope with the same rigor as national security programs. Clear objectives, defined constraints, measurable outcomes before code is written.
We assemble a world class team around your systems
Engineers, operators, and domain experts unified under one mission lead. Full context on your infrastructure, zero coordination overhead.
We deliver systems and proof your leaders can trust
Production-grade infrastructure with audit trails, governance, and documentation built for boardrooms and regulators alike.
THE STACK

The Platform

Five layers. One decision advantage.
01
Data Foundation
Data Foundation
The World, all your messy reality, unified
Unified causal graph where every entity resolves to a single canonical identity. Customers, counterparties, assets, events. One source of truth.
Time-travel native. Snapshot any state, replay any moment, fork any reality for counterfactual analysis.
Continuous ingestion from internal systems, external feeds, and unstructured sources. Always current, always queryable.
02
Operational Ontology
The Rules: how decisions actually happen here
Decision physics extracted from how choices actually get made under uncertainty. Not the org chart. Not the process doc.
Authority boundaries, information dependencies, and trigger conditions encoded as executable logic.
Top-performer patterns captured and deployable across your entire operation.
03
Behavioral Models
The Players: synthetic copies of decision-makers
Not personas. Decision-makers. Each agent carries a utility function, belief structure, and update rules that evolve on evidence.
Full network topology with influence paths, cascade mechanics, and resistance clusters mapped.
Backtested on history before deployment. If it fails on the past, it never touches the future.
04
Simulation Engine
Orchestration Engine
The Futures: run every possible tomorrow, today
Millions of agents across thousands of branches, computed in parallel.
Inject any intervention and watch the cascade unfold. Policy, market, adversary, competitive.
Full causal audit trail. Every outcome traceable, explainable, and reproducible on demand.
05
Prediction + Execution
The Move: pick the path, make it real
Probability-weighted outcomes across every branch, with sensitivity analysis on the variables that actually move the needle.
Optimal path extraction with full explainability. Logic your board will trust. Reasoning your regulator will accept.
Closed-loop learning. Every real-world outcome trains the model. It compounds daily. The longer you run it, the harder it is to catch.
Request Example Mission Briefs
Research, Not Scale

AI is leaving the lab and hitting critical systems

1.
Your data lives in 40+ disconnected systems
2.
AI pilots fail because they lack enterprise context
3.
What works at one department stays siloed there
4.
No one owns the integration layer that makes AI land
World-class teams don't hope it works. They call us. We build the systems and run the missions that prove it.
Products

Intelligence Products

All products powered by the same core simulation engine: multi-agent architecture scaling from thousands to millions of autonomous agents, each with unique behavioural profiles, decision-making logic, and social network connections.
FORESIGHT - Defense & National Security
VERITAS - Enterprise Research
POPULOUS — Consumer & SMB
AI War Rehearsal for Real Missions

FORESIGHT - Defense & National Security

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Population-scale simulation for commanders, planners, and intelligence analysts. Spawns thousands to millions of autonomous AI agents—each with unique behavioural profiles, decision-making logic, and social connections.

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The Engine

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Generates synthetic populations from thousands to millions of agents with demographic attributes, psychological profiles, social network positions, and behavioural tendencies. Agents interact, influence each other, and respond to stimuli mirroring actual human populations.

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Wargaming

  • AI adversary commanders with doctrine-realistic decision-making (Chinese, Russian, Iranian playbooks)
  • Run 1,000+ scenario branches in hours instead of weeks
  • Monte Carlo your battle plans before committing forces
  • Replace expensive human red teams with 24/7 AI opponents

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PSYOP / Information Warfare

  • Simulate foreign population response to messaging campaigns
  • Test 100 message variants against synthetic populations in hours
  • Model information spread through social networks—who shares, who amplifies, who resists
  • Predict effectiveness by demographic segment, region, and cultural context

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Intelligence Analysis

  • "What if" analysis on population response to sanctions, coups, natural disasters, regime change
  • Model adversary leader decision-making under pressure
  • Quantify confidence intervals—move from qualitative to probabilistic assessments
  • Feed outputs into Palantir Gotham for data-driven intelligence products
  • Predict cascade effects: "If we do X, then they do Y, then the population does Z"
Buyers: CDAO, Army Futures Command, Air Force Wargaming Institute, SOCOM, CIA, DIA, Combatant Commands
Synthetic Research at Enterprise Scale

VERITAS — Enterprise Research

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Replaces six months of fieldwork with six hours of simulation. For Fortune 500 brands, consulting firms, and research agencies. Traditional research is slow (6+ months), expensive ($500K+), and biased. Veritas changes that.

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The Veritas Difference

  • Simulate any audience: thousands of affluent investors, tens of thousands of healthcare
  • decision-makers, millions of consumers across 30 markets90%+ correlation to real survey data (validated methodology)
  • Results in hours, not months
  • No sampling bias. No self-reporting distortion. No recruitment logistics.
  • Traceable decision logic—see WHY synthetic respondents chose what they chose

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Use Cases

  • Brand tracking without the lag
  • Concept testing at speed and scale
  • Market entry analysis across geographies
  • Competitive positioning research
  • M&A; due diligence on customer basesPrice sensitivity modeling
Buyers: CDAO, Army Futures Command, Air Force Wargaming Institute, SOCOM, CIA, DIA, Combatant Commands
The Platform

AI-Powered Operational Intelligence

Five layers. One Decision Advantage.
01.
Data Foundation
The World: Your reality, unified and queryable.
02.
Operational Ontology
The Map: The enterprise rendered as objects and relationships.
03.
Behavioral Models
The Actors: Incentives and constraints, encoded.
04.
Simulation Engine
The Futures: Run every possible future tommorow, today.
05.
Inference Engine
The Signal: A coherent operating picture, continuously.
06.
Command Layer
The Command: Where strategy becomes leverage.
WHO WE WORK WITH

Teams Where Failure Isn’t an Option

Frontier and foundation model labs
Defense and national security programs using AI systems
Financial, healthcare, and critical-infra organizations deploying high-stakes AI
We work with a small number of frontier labs and high‑stakes programs at a time so we can stay close to the work. When we say yes to a mission, it matters to us.
HOW IT WORKS

You Explain It.
We Build It.

Mission Brief
We map your systems, data landscape, and how work actually happens. You get a clear mission plan with defined objectives, constraints, and what "done" looks like.
Pod Assembly
We assemble a mission lead and an elite team of engineers and operators. Internal teams, external partners, whatever the mission requires. One aligned plan, zero friction.
Execution & Check‑ins
We deploy against your hardest problems with disciplined, mission-grade rigor. You get focused updates and working intelligence, not slide decks.
Delivery & Hand-Off
You receive decision infrastructure in production. Many partners convert successful missions into ongoing programs or dedicated pods.
Research Missions in the Wild

Mission Types That Support
Frontier Development

Defense & Intelligence
Neutral ground for high-stakes choices
Three vendors all claiming their system is mission-ready, each with their own benchmarks designed to make themselves look good, and somewhere in that noise your principals have to make a procurement decision worth billions. We build the neutral test range and run the evaluation they can actually trust, delivering evidence that holds up when careers and capabilities are on the line. Every wargame, every evaluation, every outcome sharpens the system for the next decision you haven't encountered yet.
Three vendors all claiming their system is mission-ready, each with their own benchmarks designed to make themselves look good, and somewhere in that noise your principals have to make a procurement decision worth billions. We build the neutral test range and run the evaluation they can actually trust, delivering evidence that holds up when careers and capabilities are on the line. Every wargame, every evaluation, every outcome sharpens the system for the next decision you haven't encountered yet.
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Close
Enterprise & Data Transformation
Your data finally legible to machines
Decades of accumulated systems that were never designed to talk to each other, creating a landscape where AI pilots fail not because the models are bad but because the context layer simply doesn't exist. We build the unified graph that gives AI the same institutional knowledge your best operators carry around in their heads, except it never forgets and it never leaves. The system compounds daily, and the enterprise that starts now builds an advantage that late movers can't replicate by writing a bigger check.
Decades of accumulated systems that were never designed to talk to each other, creating a landscape where AI pilots fail not because the models are bad but because the context layer simply doesn't exist. We build the unified graph that gives AI the same institutional knowledge your best operators carry around in their heads, except it never forgets and it never leaves. The system compounds daily, and the enterprise that starts now builds an advantage that late movers can't replicate by writing a bigger check.
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Close
Frontier Labs & Cloud Platforms
Shipping safely at scale
The next model ships in weeks and internal teams are already stretched across evals, red teams, and safety reviews that all need to run simultaneously before anything goes out the door. We build the infrastructure that lets you hit the release date without compromising on the work that actually determines whether this launch builds trust or burns it. And the system learns from every release, every edge case, every near-miss, so the next one ships faster and cleaner than the last.
The next model ships in weeks and internal teams are already stretched across evals, red teams, and safety reviews that all need to run simultaneously before anything goes out the door. We build the infrastructure that lets you hit the release date without compromising on the work that actually determines whether this launch builds trust or burns it. And the system learns from every release, every edge case, every near-miss, so the next one ships faster and cleaner than the last.
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Close
Finance & Capital
Regulator-ready before the regulator asks
Deploying AI into risk and client-facing workflows means the audit trail needs to exist before the auditor shows up asking questions you can't answer. We build the explainability layer and governance infrastructure from the ground up, so when the inquiry arrives the documentation is already there proving exactly how every conclusion was reached. Every decision that runs through the system trains it to anticipate the next one, and competitors who start later never close the gap.
Deploying AI into risk and client-facing workflows means the audit trail needs to exist before the auditor shows up asking questions you can't answer. We build the explainability layer and governance infrastructure from the ground up, so when the inquiry arrives the documentation is already there proving exactly how every conclusion was reached. Every decision that runs through the system trains it to anticipate the next one, and competitors who start later never close the gap.
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Close
Governance & Public Sector
Decisions at the speed of consequence
Government agencies face the constant tension between needing to move faster and the absolute requirement that every decision remain auditable, explainable, and defensible across administrations. We build infrastructure that resolves this by making decisions faster precisely because they're more traceable, giving you speed and accountability instead of forcing you to choose between them. Every decision strengthens the institutional memory, so the system that serves this administration serves the next one even better.
Government agencies face the constant tension between needing to move faster and the absolute requirement that every decision remain auditable, explainable, and defensible across administrations. We build infrastructure that resolves this by making decisions faster precisely because they're more traceable, giving you speed and accountability instead of forcing you to choose between them. Every decision strengthens the institutional memory, so the system that serves this administration serves the next one even better.
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Close
Energy & Critical Infrastructure
Systems that cannot fail
Grids and pipelines operate under constraints that consumer software never has to think about, where response times are measured in milliseconds and the consequences of getting it wrong show up as blackouts and safety incidents on the evening news. We build decision systems engineered for environments where failure modes have to be understood before deployment, not discovered when something breaks. The longer the system runs on your infrastructure, the more it learns about how your network actually behaves under stress.
Grids and pipelines operate under constraints that consumer software never has to think about, where response times are measured in milliseconds and the consequences of getting it wrong show up as blackouts and safety incidents on the evening news. We build decision systems engineered for environments where failure modes have to be understood before deployment, not discovered when something breaks. The longer the system runs on your infrastructure, the more it learns about how your network actually behaves under stress.
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Close
Industrial & Manufacturing
Precision at scale, downtime not an option
Production lines generate continuous streams of sensor data and operational signals, but most AI initiatives stall because the integration layer between all those systems was never properly built in the first place. We construct the unified foundation that turns fragmented shop-floor data into predictive capability, catching failures before they get the chance to cascade through the line. Every anomaly caught, every optimization deployed, every shift that runs clean makes the system more valuable than it was yesterday.
Production lines generate continuous streams of sensor data and operational signals, but most AI initiatives stall because the integration layer between all those systems was never properly built in the first place. We construct the unified foundation that turns fragmented shop-floor data into predictive capability, catching failures before they get the chance to cascade through the line. Every anomaly caught, every optimization deployed, every shift that runs clean makes the system more valuable than it was yesterday.
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Close
Health & Civil Systems
Lives on the line, every decision traced
Clinical decisions ripple through patient outcomes, institutional liability, and public trust in ways that tolerate zero ambiguity about how AI reached its conclusions. We build the traceability infrastructure that makes deployment defensible to the physician in the room, the administrator signing off, and the regulator reviewing the case file simultaneously. Every pathway, every adoption pattern, every outcome refines what the system understands about how care actually moves through your network.
Clinical decisions ripple through patient outcomes, institutional liability, and public trust in ways that tolerate zero ambiguity about how AI reached its conclusions. We build the traceability infrastructure that makes deployment defensible to the physician in the room, the administrator signing off, and the regulator reviewing the case file simultaneously. Every pathway, every adoption pattern, every outcome refines what the system understands about how care actually moves through your network.
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Close
Land & Natural Resource Capital
Unified intelligence across every acre
Agricultural investors manage portfolios spanning thousands of parcels across dozens of jurisdictions. Ownership is buried in county deed records. Water rights sit in separate state systems. Operational performance lives in farm management software that doesn't talk to financial systems. When a drought hits or commodity prices shift, understanding true exposure takes longer than the market gives you. A unified land intelligence layer resolves parcels, owners, and operating entities into canonical representations across all systems. Entity resolution links fragmented records deeds, leases, water rights, crop data, satellite imagery into complete asset views. Climate and commodity risk models attach to specific holdings automatically. Portfolio exposure questions that took weeks now resolve in minutes, and emerging risks surface before they materialize.
Agricultural investors manage portfolios spanning thousands of parcels across dozens of jurisdictions. Ownership is buried in county deed records. Water rights sit in separate state systems. Operational performance lives in farm management software that doesn't talk to financial systems. When a drought hits or commodity prices shift, understanding true exposure takes longer than the market gives you. A unified land intelligence layer resolves parcels, owners, and operating entities into canonical representations across all systems. Entity resolution links fragmented records deeds, leases, water rights, crop data, satellite imagery into complete asset views. Climate and commodity risk models attach to specific holdings automatically. Portfolio exposure questions that took weeks now resolve in minutes, and emerging risks surface before they materialize.
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Close
Leading Frontier Labs & Cloud Platforms
A frontier lab is 8 weeks away from shipping a new agent system that writes and ships code. Internal eval and safety teams are overloaded. They have internal contractors, but no one owning the whole mission.

Scaling Safety Infrastructure for Autonomous Systems

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You’re close to shipping an autonomous agent operating across regulated domains.

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The safety methodology is solid. The challenge is execution at scale.

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Evaluating real-world risk across finance, healthcare, and legal contexts requires deep domain expertise, fast coordination, and rigorous synthesis. Scaling that internally takes time most teams don’t have.

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What we do

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We execute your safety methodology at scale.

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You define the threat models and thresholds. We run the evaluation.

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We rapidly deploy vetted domain specialists including regulatory reviewers, compliance officers, legal experts, and adversarial ML researchers to stress-test agents in production-like environments. Findings are structured, prioritized, and mapped directly to your risk framework.

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The outcome

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Your safety team stays focused on decisions, not logistics.

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Risks are identified early, guardrails are strengthened, and launches stay on schedule.

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The infrastructure we build continues to support monitoring and future releases.

Leading Frontier Labs & Cloud Platforms
A frontier lab is 8 weeks away from shipping a new agent system that writes and ships code. Internal eval and safety teams are overloaded. They have internal contractors...
Read more
DoD and Defense Companies
A Ministry of Defense wants to choose between models from Lab A, Lab B, and Lab C for a sensitive intel/ops program. Each lab has their own evals and vendors but the ministry needs a neutral, apples‑to‑apples test range and report.

Decision Advantage Through Unified Intelligence

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Analysts often encounter the same adversary unit under multiple identifiers across SIGINT, IMINT, HUMINT, and geospatial systems. Correlating these manually takes time. By the time the picture is unified, the situation has already changed.

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The issue is not failing systems. It is fragmented data. AI cannot reason effectively when intelligence remains siloed and inconsistently labeled.

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What we build

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We build a unified intelligence layer that resolves entities across all collection sources and maintains a continuously updated operational picture.

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Identifiers are fused into canonical entities so new reporting instantly updates the full intelligence context. Temporal modeling preserves what was known at any point in time. Confidence weighting reflects source reliability and automatically updates as corroborating evidence appears.

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This unified layer powers fusion engines, threat prediction, decision support, and wargaming based on real, integrated intelligence.

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The outcome

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Time to fusion is reduced from hours to minutes. Analysts focus on analysis instead of reconciliation. Commanders operate with current intelligence, not stale snapshots.

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Decision advantage comes from tempo. When your intelligence updates faster than the adversary can decide, you operate inside their loop.

DoD and Defense Companies
A Ministry of Defense wants to choose between models from Lab A, Lab B, and Lab C for a sensitive intel/ops program. Each lab has their own evals and vendors but the ministry...
Read more
Tier-1 Banks & Financial Institutions
A global bank wants to deploy a frontier model from Lab X for customer‑facing and risk workflows. Their regulator is already nervous. The bank has data teams, the lab has their own eval suite and vendors, but no one is responsible for the joint, regulator‑grade program.

Client Intelligence at Institutional Scale

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Large financial institutions often represent a single client across dozens of disconnected systems. Relationship, risk, trade, and communication data all exist, but assembling a complete client view takes time most teams do not have.

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AI initiatives fail because they cannot answer a basic question reliably: who is this client. Regulatory demands for explainability and data lineage further expose the limits of fragmented architectures.

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What we build

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We build a client intelligence layer that unifies fragmented data into a single, usable client representation. Entity resolution connects all related records into one client identity. New trades, communications, and risk events automatically attach to the correct entity in real time.

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A counterparty graph explicitly models the multiple roles a client plays across the institution, enabling accurate risk, pricing, and service decisions.

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Built-in audit infrastructure traces every fact and conclusion back to source systems, supporting regulatory review by design.

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The outcome

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Client lookup time drops from over an hour to under a minute. Risk moves from batch processing to real-time detection. Regulatory inquiries resolve faster with clear lineage. AI systems succeed once they have a reliable foundation for client identity.

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We have deployed this architecture across multiple tier-1 institutions facing the same core problem: fragmented data blocking intelligent systems.

Tier-1 Banks & Financial Institutions
A global bank wants to deploy a frontier model from Lab X for customer‑facing and risk workflows. Their regulator is already nervous. The bank has data teams, the lab has their...
Read more
Sovereign Wealth & Institutional Capital
Institutional investors spend too much time gathering scattered information instead of analyzing it. A unified intelligence layer turns fragmented data into faster, more confident investment decisions.

Investment Intelligence That Compounds

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Analysts spend most of their time gathering information instead of analyzing it. When portfolio questions arise, answers are buried across systems, research, news, and internal notes. The data exists, but no single view connects it.

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Funds that succeed with AI are not smarter. They have built the infrastructure that makes intelligence usable.

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What we build

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We build a unified investment intelligence layer that makes your entire knowledge base queryable. Holdings are connected to investment theses, assumptions, and risk factors. When new information challenges an assumption, affected positions surface automatically.

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Entity resolution unifies companies across portfolio systems, research, news, and CRM. Updates anywhere enrich the full investment view. Thesis tracking and research lineage preserve why decisions were made and surface conclusions when underlying information changes.

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The outcome

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Analyst time shifts from gathering to analysis. Research cycles compress from weeks to days. Institutional knowledge persists instead of walking out the door.

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We have deployed this architecture across multiple institutional investors facing the same challenge: scattered information limiting investment intelligence.

Sovereign Wealth & Institutional Capital
Institutional investors spend too much time gathering scattered information instead of analyzing it. A unified intelligence layer turns fragmented data into faster, more con...
Read more
Industrial Systems & Advanced Manufacturing
Manufacturers operate across fragmented systems that prevent issues from being seen early. A unified operations layer connects parts, suppliers, equipment, and quality data so downtime and defects can be predicted and prevented.

Unified Operations Across Fragmented Footprints

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Large manufacturers operate across dozens of facilities and systems acquired over decades. Parts, suppliers, equipment, and maintenance data exist everywhere, but nowhere together. As a result, defects, downtime, and supply disruptions surface too late.

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AI initiatives fail not because the models are wrong, but because the data they rely on is fragmented.

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What we build

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We build a unified operations layer that makes complex manufacturing footprints queryable as a single system.

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Entity resolution connects parts, suppliers, equipment, and facilities across all systems. An operational knowledge graph links maintenance, quality, production, and supply chain data so issues can be traced across the entire operation.

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The outcome

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Predictive maintenance and quality programs begin working at scale. Unplanned downtime is reduced. Supply chain and quality risks surface earlier and resolve faster.

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We have deployed this architecture across global manufacturers facing the same challenge: fragmented data preventing intelligent operations.

Industrial Systems & Advanced Manufacturing
Manufacturers operate across fragmented systems that prevent issues from being seen early. A unified operations layer connects parts, suppliers, equipment, and quality data...
Read more
Enterprise Platforms & AI-Native Software
Customer signals are scattered across systems, making churn visible only when it is too late. A unified customer intelligence layer connects behavior, usage, and sentiment so teams can act early and retain revenue.

Customer Intelligence That Compounds

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Customer data lives across dozens of systems. Signals that predict churn exist, but they are scattered. By the time patterns are visible, the customer has already decided to leave.

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Retention suffers not because teams lack insight, but because insight is fragmented.

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What we build

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We build a unified customer intelligence layer that connects every system into a real-time understanding of each customer.

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Entity resolution unifies customer identity across analytics, support, CRM, billing, and success platforms. A relationship graph connects usage, support, contracts, sentiment, and renewal history into one coherent view. Behavioral signals are combined into predictive health scoring that improves as outcomes are observed.

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The outcome

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Teams identify churn risk earlier, save more renewals, and uncover expansion opportunities that were previously missed.

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Customer intelligence compounds over time as every interaction strengthens prediction and context.

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We have deployed this architecture across SaaS and platform companies facing the same challenge: fragmented data blocking proactive customer success.

Enterprise Platforms & AI-Native Software
Customer signals are scattered across systems, making churn visible only when it is too late. A unified customer intelligence layer connects behavior, usage, and sentiment so teams can act early and retain revenue.
Read more
Health Systems & Clinical AI
Fragmented patient records across EHR systems create safety risks and prevent clinical AI from working reliably. A unified patient intelligence layer resolves identities in real time so clinicians and AI systems can act on complete, trusted information.

Patient Intelligence Without Safety Compromises

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Patient records are fragmented across multiple EHRs. Duplicate identities lead to missing allergies, incomplete medication histories, denied claims, and avoidable safety risks. AI systems fail when they operate on partial or inconsistent patient data.

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The cost is measured not just in dollars, but in patient safety.

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What we build

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We build a unified patient intelligence layer that resolves patient identities with confidence scoring and delivers complete clinical context in real time.

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Probabilistic entity resolution links records across systems, handling ambiguity safely and escalating when needed. A clinical graph connects encounters, diagnoses, medications, labs, and care teams into a single representation that clinical AI can trust.

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The outcome

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Duplicate patient records drop sharply. Clinicians see complete information at the point of care. Clinical AI performs as intended, with fewer missed cases and less alert fatigue.

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We have deployed this architecture across health systems facing the same challenge: fragmented patient data undermining safety and intelligent care.

Health Systems & Clinical AI
Fragmented patient records across EHR systems create safety risks and prevent clinical AI from working reliably. A unified patient intelligence layer resolves identities in real time so clinicians and AI systems can act on complete, trusted information.
Read more
Leading Frontier Labs & Cloud Platforms
A frontier lab is 8 weeks away from shipping a new agent system that writes and ships code. Internal eval and safety teams are overloaded. They have internal contractors, but no one owning the whole mission.
READ MORE
DoD and Defense Contractors
A Ministry of Defense wants to choose between models from Lab A, Lab B, and Lab C for a sensitive intel/ops program. Each lab has their own evals and vendors but the ministry needs a neutral, apples‑to‑apples test range and report.
READ MORE
Tier-1 Banks & Financial Institutions
A global bank wants to deploy a frontier model from Lab X for customer‑facing and risk workflows. Their regulator is already nervous. The bank has data teams, the lab has their own eval suite and vendors, but no one is responsible for the joint, regulator‑grade program.
READ MORE
Sovereign Wealth & Institutional Capital
Institutional investors spend too much time gathering scattered information instead of analyzing it. A unified intelligence layer turns fragmented data into faster, more confident investment decisions.
READ MORE
Industrial Systems & Advanced Manufacturing
Manufacturers operate across fragmented systems that prevent issues from being seen early. A unified operations layer connects parts, suppliers, equipment, and quality data so downtime and defects can be predicted and prevented.
READ MORE
Enterprise Platforms & AI-Native Software
Customer signals are scattered across systems, making churn visible only when it is too late. A unified customer intelligence layer connects behavior, usage, and sentiment so teams can act early and retain revenue.
READ MORE
Health Systems &
Clinical AI
Fragmented patient records across EHR systems create safety risks and prevent clinical AI from working reliably. A unified patient intelligence layer resolves identities in real time so clinicians and AI systems can act on complete, trusted information.
READ MORE
FAQs

Everything you need to know about us

Are you just another data vendor?
How fast can you start?
Do you replace our internal team?
What do we deliver?
Why should we trust you with sensitive systems?
Questions?
We’ll get you answers fast.
talk to the team