Reasoning Infrastructure

Build trustworthy
agents that think  

Polycog builds the reasoning infrastructure for agents — composable neuro-symbolic reasoning primitives, orchestration directives, and built-in observability, explainability, & safety

Neuro-Symbolic
Orchestration
Observability
Explainability
Safety
01 — Platform

The reasoning layer,
decomposed

We build the infrastructure that sits between your foundation model and your agent's actions — giving it the ability to reason structurally, act safely, and explain itself clearly

Reliable reasoning.
01

Neuro-Symbolic Primitives

Composable building blocks that combine neural inference with logical reasoning. Agents reason about rules, relationships, and constraints — not just pattern-match on tokens.

Relations · Constraints · Logic
Steerable operation.
02

Orchestration Directives

Declarative policies governing how agents think, decide, and execute. Define schemas aligned with a human expert's mental model — not imperative code that breaks at scale.

Policy · Schemas · Mental Models
Observable, explainable, and safe.
03

Causal Provenance

Every decision causally determined and traced. Audit any agent decision with a deterministic lineage of data and knowledge. Ensure agents do not take unauthorized action.

Causal · Explainable · Safe
02 — Process

From human expertise
to trusted autonomy

—01
Build Agent Behavior
Use Polycog SDK to upgrade your existing agent loop. Works with any foundation model. Organizes decision making pre-action, adds structured reasoning, produces results with full causal provenance.
—02
Define Reasoning Structure
Declare the domain primitives your agent operates over — concepts, relations, axioms, constraints — using expert knowledge. Polycog compiles these into a knowledge graph that drives agentic reasoning and persists across sessions.
—03
Orchestrate with Policies
Write orchestration guidelines in plain language, declaratively. Polycog enforces them at runtime — creating subtasks, determining the sequence, and resolving conflicts automatically.
—04
Observe, Explain, Control
Every reasoning step emits a structured trace. Query why any agent took any action. Use causal diffs to understand and improve behavior across runs — with no guesswork. Improve expert alignment by updating the reasoning structure and directives.
03 — Principles

We believe agents
must earn trust

These aren't aspirational values — they're architectural constraints we've built into our stack. Trust is not a vibe; it's intentional design.

No black boxes.

Every decision an agent makes should be traceable to a cause. We build infrastructure that makes opacity structurally impossible, not just configurable.

Primitives, not monoliths.

We provide the smallest useful unit of reasoning. You compose. This gives you control over the entire reasoning stack without inheriting our assumptions about your domain.

Safety as structure.

Safety is not a feature you add later. Constraints are baked into the reasoning loop itself — before any action is taken, not as a post-hoc filter that can be bypassed.

Early Access

Build agents you can trust

We're working with a small cohort of teams building production agent systems. Ping us and we'll reach out.