Commercial AI
Your graph. Your keys. Your reasoning.
Graph-native commercial AI built for sovereignty and traceability. DKE-Forge is the first application of the Rent-a-Graph pattern; in development with public signup opening at v1.0. Verus, Rover, and VerusMind are Personal AI concepts in active development.
Commercial products
What we ship.
Rent-a-Graph
Commercial patternIsolated knowledge graph sandboxes — your graph is yours.
Load your own data into an isolated graph, build your own reasoning structures, query through a deterministic pipeline. No cross-contamination, no shared training. The pattern ships as concrete applications — DKE-Forge is the first, applied to source code. More domains to follow.
DKE-Forge
Alpha · closedRent-a-Graph applied to source code.
Deterministic code intelligence as a service. Ingest a codebase, ask questions, get answers grounded in the code — no LLM guessing in the reasoning path. REST API, MCP server for Claude Code, and a pip-installable CLI.
dke-forge.com — in development; public signup opens at v1.0. The Python client + REST + MCP surfaces are public for preview.
Why now
Why graph-native, why now.
Most commercial AI is LLM-first: a model wraps a product, the model hallucinates, the product bills per token, and neither you nor the provider can explain why a given answer came out the way it did. Traceability has been traded for convenience.
Rent-a-Graph reverses that trade. A graph holds structured data with provenance. Reasoning happens by traversing it — every answer grounds in the nodes it came from. No stochastic guess, no silent drift under retraining, and because the graph is yours, your data doesn't leave it.
DKE-Forge is the first application: Rent-a-Graph applied to source code. Ingest a codebase, and the graph answers questions with the same determinism you'd expect from a compiler. The next applications target other structured domains.
Concepts in development
What's coming next.
Personal AI instances exploring what sovereign, owned intelligence looks like in practice. See the philosophy for the architecture behind them.
Verus
In developmentA sovereign Personal AI.
The first instance of the LangSyn PAI architecture. A sovereign AI that runs on hardware you own, communicates over the Antheos protocol, and keeps every claim traceable to its source.
Rover PAI
Firmware builtIntelligence on-chip. A Personal AI that moves.
A tracked robot on a LEGO chassis powered by ESP32-S3. A sovereign PAI that runs fully on the chip — no cloud, no network dependency. Unplug the network and Rover keeps thinking.
VerusMind
ConceptA live window into a sovereign AI ecology.
Talk to Rover through a live camera feed. Watch it navigate, ask questions, and reason in real time. The server relays audio; the intelligence is on-chip.
Economy
A two-token economy.
LangSyn commercial products run on two tokens: LangCoin pays for external reasoning that costs real resources; SynCoin pays for graph-local reasoning that doesn't. The graph gets smarter, your costs go down.
LangCoinLCN
Tied to real money. Pays for queries that require fresh research from external sources — LLM API calls, third-party data, provider-backed work that costs real resources.
SynCoinSYN
Earned when your queries enrich the graph. Spent on graph-local reasoning that costs nothing to resolve — deterministic lookups, pattern matches, provenance traces.
DKE-Forge is the first product running on this model. In development; public signup opens at v1.0. See DKE-Forge pricing for the contract that applies when public signup opens.
Foundations
Built on transparent foundations.
Every tool and service built under the LangSyn name inherits its principles from the LangSyn philosophy and the open technical specifications. You will be able to see what your devices know, how they reason, and where they stop. No hidden pipelines. No secret training sets. No fine print.