AI solutions by audience

A note on evidence. We have no client case studies yet, so these pages do not describe past engagements. The evidence they link to is our own published work: research breakdowns, benchmark reviews and methodology. All service lines listed are currently planned, not offered.

• For AI labs & model vendors

  Evaluation that holds up to scrutiny

  For teams that build models or AI products and need evaluations with clear provenance — task-specific suites, adversarial testing and benchmark analysis.

  Problems we focus on

  • Leaderboard numbers don't answer your question
  • Claims need provenance
  • Failure modes matter more than averages

  Relevant services

  • LLM & model evaluationPlanned
  • Reliability & red-team evaluationPlanned
  • Technical research & advisoryPlanned

  Problems, services and evidence for AI labs & model vendors

• For Startups

  From prototype to a product you can measure

  For small teams that need to prove an AI feature works on real data, then ship it with evaluation and observability in place.

  Problems we focus on

  • Demos that don't survive real data
  • Unmeasured quality
  • Agents that are hard to debug

  Relevant services

  • Prototypes & proofs of conceptPlanned
  • LLM application developmentPlanned
  • AI agent engineeringPlanned
  • RAG & knowledge systemsPlanned

  Problems, services and evidence for Startups

• For Enterprises

  AI implementation with guardrails

  For organisations adopting AI in existing processes and systems, where accuracy, access control and auditability are requirements.

  Problems we focus on

  • Knowledge locked in documents
  • Manual, document-heavy processes
  • Vendor claims are hard to compare

  Relevant services

  • RAG & knowledge systemsPlanned
  • AI automation & data workflowsPlanned
  • LLM & model evaluationPlanned
  • Technical research & advisoryPlanned

  Problems, services and evidence for Enterprises

• For Researchers & educators

  Exploring research collaboration

  For academic and independent researchers interested in reproducible evaluation, benchmark analysis or technical explainers.

  Problems we focus on

  • Reproducibility takes engineering time
  • Research needs to reach practitioners

  Relevant services

  • Technical research & advisoryPlanned
  • LLM & model evaluationPlanned

  Problems, services and evidence for Researchers & educators