Agentic Systems
Autonomous agents that reason over tools, memory, and data, taking work from ambiguous prompt to verified outcome.
- Planner–executor loops
- Tool-augmented retrieval
- Evaluated decision policies
Intelligence Laboratory · Est. 2026
Applied intelligence for a compounding world.
We research and build proprietary autonomous systems. Novel architectures that research, decide, and execute, licensed to leading teams in finance, data, and software.
0%
Platform availability (our inference tier)
0ms
Median decision latency in production
0/7
Autonomous agents, always on
Capabilities
Four disciplines. One thesis.
Intelligence is a system property, not a feature. We work across the full stack: model, memory, orchestration, infrastructure.
Applied Research
Our in-house research programme. Frontier architectures, fine-tuned models, and bespoke evaluation frameworks developed and maintained as proprietary IP.
- Eval harnesses & regression suites
- Context & retrieval research
- Model benchmarking
Intelligence Infrastructure
Low-latency pipelines, vector retrieval, orchestration, and observability. The invisible plumbing behind every reliable agent.
- Streaming event processors
- Hybrid retrieval layers
- Traceable agent telemetry
Proprietary Models
Our original research, released selectively. In-house models, algorithms, and evaluation frameworks, licensed to qualified enterprises.
- Domain-specialised models
- Novel training pipelines
- Licensable eval suites
Approach
We ship intelligence the way engineers ship systems.
Most AI is demoware. The real work comes after the first prompt: the evaluation harness, the retry policy, the slow accumulation of context that turns a clever output into a dependable one.
KM Intelligence is a small, senior R&D laboratory. We invest long into a narrow set of research programmes: novel architecture, experimentation, measurement, and the unglamorous months of refinement that turn clever output into dependable systems. The output is proprietary: software, models, and research artefacts we deploy and license.
km ▸ research "alpha signals across 500 equity tickers, last 10 years" ↳ ingested: 4.2B price events, 500 instruments ↳ dispatched: 18 sub-agents across 4 hypotheses ↳ evaluated: 2,418 candidate factors ✓ 3 factors isolated, Sharpe 1.8 to 2.4 ✓ 2 novel (not in public research) ✓ report ready in 9m 23s, 47k tokens
Contact
Working on something non-trivial?
A limited number of licensing partnerships each year. Tell us about your problem space and we'll reply within two working days.