Production-Grade Agentic AI for The World's Most Ambitious Companies

We Reimagine Your Most Critical
Enterprise Workflows

In your most critical workflows, Nablon deploys 99.99% reliable agentic AI at your most constraining bottlenecks, delivering measurable outcomes in production. In weeks.

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EXPLORE
What Makes This Hard

Building agents takes hours.
Building the right agents takes years.

Every ambitious enterprise has unique decision logic buried in decades of process evolution, tribal knowledge, and institutional memory. The bottleneck was never the AI model. It was always the context around it—the ontologies, the rubrics, the decision traces that make agents behave like your best operators, not generic assistants.


We've spent years forward-deployed inside the world's largest enterprises—mapping the decision logic that never makes it into documentation, building the verification frameworks that turn probabilistic outputs into production-grade certainty. These aren't consulting deliverables. They're engineering artifacts.

200+
Bottleneck Patterns
Workflow Bottleneck Library
Mapped across CPG supply chain, banking compliance, healthcare operations, and industrial processes. Each pattern includes root cause, complexity class, and the agentic intervention that resolves it.
45+
Entity Classes
Domain Ontologies
OWL 2 DL knowledge graphs spanning five operational domains—planning, inventory, manufacturing, logistics, commercial—with formal relationship definitions, cardinality constraints, and SPARQL query patterns agents use during reasoning.
6
Industry Verticals
RL Training Environments
Production-tested RL Gym environments with synthetic data generators, state/action spaces, and reward functions calibrated to real enterprise KPIs across CPG, BFSI, healthcare, automotive, industrial, and retail.
50+
Decision Personas
Chain-of-Thought Libraries
Persona-specific prompt architectures—demand planners, AML investigators, QA engineers, S&OP coordinators—each encoding mandatory reasoning chains, constraint injections, and domain-specific Theory of Constraints templates.
30+
Rubric Variants
Verification Frameworks
Stochastic and deterministic evaluation rubrics—from picker-centric warehouse optimization to AML investigation completeness scoring. Each rubric encodes ground truth that transforms parroting LLMs into reasoning systems.
100+
MECE Decision Trees
Decision Trace Cold-Start
Structured decision traces capturing expert reasoning across forecast overrides, trade promotion approvals, credit risk assessments, and regulatory filings—the training data that kickstarts RL where no historical agent data exists.
The Compounding Advantage

Libraries that get
smarter with every deployment.

Our library of domain-specific skills compounds with every deployment. This is engineered compounding - not incremental learning. Each engagement strengthens a growing library of production-hardened capabilities, improving pattern recognition, decision velocity, and operational resilience. Capabilities compound at the platform level. Your agents compound within your operations.

Bottleneck Patterns
Catalogued workflow constraints with proven resolution strategies across the Enterprise's operations.
Domain Ontologies
Formal knowledge representations that give agents semantic grounding—not just data access, but understanding.
RL Environments
Pre-built training gyms with calibrated reward functions that reflect actual enterprise KPIs and constraints.
Evaluation Rubrics
Verification frameworks that encode ground truth—turning probabilistic outputs into auditable, compliant decisions.
Agentic Scaffolding
Durable execution primitives, crash-proof state persistence, and production reliability patterns that keep agents running.
Decision Traces
Expert reasoning captured as structured training data—the cold-start fuel that jumpstarts RL where no agent history exists.

Most firms start from zero context every engagement. We start with years of accumulated domain intelligence.

That's the difference between a 6-month pilot and a 12-week production deployment.
Why Production Is Hard

The engineering gap nobody
talks about.

75% accuracy on a single task sounds impressive—until you chain 5 decisions together and realize you're at 23.7% reliability. Enterprise workflows don't forgive compounding errors.

The industry has a generation problem masquerading as an intelligence problem. LLMs can generate plausible outputs for nearly anything. But "plausible" isn't production-grade. Production is about verification, deterministic guardrails, crash-proof execution, and the ability to recover gracefully when the world doesn't match your model.

We've built infrastructure that treats agent reliability the way aerospace treats flight safety—every decision is journaled, every state is recoverable, every output is verified against domain-specific ground truth before it touches a production system.

This isn't a platform you buy. It's an engineering discipline we've refined across hundreds of enterprise deployments. The scaffolding is invisible to end users. That's the point—when agents just work, day after day, at 99.99% reliability, nobody asks how.

"pass@k tells you how often an agent can succeed once. pass^k tells you how often it succeeds every time. Enterprise needs pass^k."

Durable Execution
Crash-proof state persistence with automatic recovery. Every agent step is journaled. Failures are transparent to application logic—replay from last checkpoint.
Deterministic Guardrails
Hard constraints that prevent LLMs from executing actions that violate business rules. Formal deductive reasoning against encoded domain logic.
Continuous Verification
Every agent output verified against domain-specific rubrics before downstream propagation. The LLM Modulo approach—generation is cheap, verification is the moat.
Semantic Grounding
OWL/RDF knowledge representations provide agents with a shared vocabulary. Entity resolution creates a unified digital twin—single source of truth.
Decision Traceability
Complete audit trail for every agent action—why it acted, what it considered, what it rejected. Full compliance readiness for regulated industries.
Our Mission

Delivering true economic value
to the World's Most Ambitious Companies.

Not pilots. Not proofs of concept. Not consulting slides that sit in drawers. We measure success by solved problems and unlocked capacity—production systems that create measurable, compounding value every quarter they run.

Backed by tier-1 venture capital. Built by engineers with 40+ patents and McKinsey partners who've led transformations at the world's largest enterprises. We underwrite the risk of outcomes because we've done the engineering work to know it will work.