Sentiense / Solutions
Tools we built to think with.
The tooling behind our advice: model decisions and token optimisation, agent infrastructure and research verification. Full write-ups are for members.
Members only01 Token & cost optimisationSextant: choosing models on purposeOur model decision studio. It sizes each AI workload, compares models on cost and quality under real constraints, and recommends an allocation for a whole organisation, routing included.
Members only02 Agent infrastructureAeonFlux: an agent runtime that survivesAn event-driven runtime for long-running agents: durable, observable tool execution in a single binary, with checkpoints that let an agent restart where it left off.
Members only03 Agent toolingAgentForge: building agents visuallyA local-first desktop environment for designing agent workflows as graphs, connecting tools through the Model Context Protocol and switching between model providers.- Members only04 Research integritySagan: testing research, not summarising itA research verification engine. It extracts claims from papers into a graph, finds genuine contradictions between them, and tries to reproduce published results from their code.
Members only05 Agent runtime · ResearchSerang: fast, safe agents on small hardwareA tool-using agent runtime that runs on a Raspberry Pi. Each step runs in the cheapest isolation that is still safe, kept warm, from a WebAssembly check to a full browser. The basis of our current research on agent budgets.
Members only06 Futures · SuperintelligenceSingularity predictor: when might AGI arrive?An interactive model of AI timelines. Fifteen levers, from compute and algorithms to safety research and regulation, move the estimated arrival of general and superintelligent AI. It is a tool for arguing about assumptions, not a forecast.
Sister practice · Twinverse
Where AI meets the physical world.
Twinverse builds digital twins of places, assets and operations: crowd simulation for the Mataf, a container terminal twin, and one engine for many sites.