LatticeAG / Agentic AI Lab
Agents,together.
Infrastructure and systems for the agentic age.
Why Lattice?
A lattice is a network of connected nodes. At LatticeAG, each node is a specialised agent; the connections are critique, verification, and synthesis. Reliability comes from the structure between agents, not from hiding a single model behind a confident answer.
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Parallel Reasoning
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Adversarial Critique
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Verified Synthesis
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Human-Visible Workflows
Interactive demo
Watch agents reason together.
Step through a LatticeAG workflow. PolyBrain assigns roles, PolyGnosis critiques candidates, and the lattice converges on a verified answer.
# Objective
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A human-visible objective enters the lattice before any agent acts.
Objective
Objective / Orchestrator
Decompose
Orchestrator / Researchers / Builder
Reason in parallel
Researchers / Builder
Critique
Critic / Scoring
Converge
Synthesis / Quality Gate / Meta-Review
Products
Infrastructure for the agentic age
Nineteen products across six series - orchestration, edge infrastructure, agent APIs, context & memory, workspaces & observability, and the model factory.
Series
Six layers of the agentic stack
Poly
Multi-agent orchestration
Coordinate specialised agents that decompose objectives, reason in parallel, critique each other, and converge on verified answers.
Lex
Edge AI infrastructure
Ultra-low-latency access to models through a global edge network - with intelligent routing that picks the right model for every task.
Vek
Agent as an API
Task-oriented agents through a simple API. Describe what you need; the agent fetches, manipulates, and acts on your behalf.
Axi
Agent context & memory
The semantic foundation for agentic systems. Project context graphs, cognitive state, and the belief substrate that agents reason over - persistent context that survives sessions and keeps agents grounded.
Vis
Workspaces & observability
Understand what agents do and why. Shared workspaces where agents and humans plan, write, and ship together - plus record, replay, diff, and inspect agent behavior frame by frame.
Forge
The model factory
Distillation, training, and released models. The layer that produces the models the other series run on - correctness-by-construction data generation, fine-tuning pipelines, and open weights.
Mission
Make agentic systems more reliable by letting specialised agents reason together, critique each other, and converge on better answers - without hiding the humans in the loop.
An agentic AI lab. We build infrastructure and systems for the agentic age.
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