01
Agentic systems
Long-running agents that read your tools and act with full audit trails.
Production AI that survives contact with your business.
We diagnose the blockers and ship governed agentic systems inside your environment.
- Integration debt, stale data, audit gaps, and unowned evals named early.
- Embedded delivery with your engineers, operators, and governance owners.
- Agentic systems shipped inside your VPC, residency, and security model.
- No slide decks that die in a drawer. The work ends in production.
/ practice
Six things that move the needle.
What we ship
02
Enterprise retrieval
Hybrid retrieval over SharePoint, drawings, tickets. Citations, not stale dumps.
03
Voice & multimodal
Sub-200ms voice agents for crews and support. On-prem deployable, six languages.
04
Multi-agent orchestration
Specialist agents with durable execution that survives a deploy. Routing per workload.
05
Evals & governance
Custom evals tied to your KPIs. Regression suites that block bad deploys.
06
Sovereign deployment
Mistral, Qwen, GLM, fine-tuned on your GPUs, your country, your jurisdiction.
/ approach
Six steps from idea to production.
12 to 20 weeks. We name the work, then we do it.
Discover
Current state, stakeholder map, baseline.
Diagnose
What blocks deployment, ranked by ROI.
Design
Target architecture, eval plan, model routing.
Prioritize
Phased roadmap. Survives IT, security, finance.
Translate
Spec your team can start Monday.
Implement
Embedded build. Eval coverage on every deploy.
03 / case study
A Nordic enterprise. Archive to intelligent platform.
“An information-rich system that worked more like a digital archive than an intelligent platform.”
We ran stakeholder workshops, mapped behaviour on the live system, and named five strategic pillars: structure, UX, personalization, AI-enabled support, intelligent discovery. Technical specification delivered. Implementation in client IT review.
- 01Done
Stakeholder alignment
Workshops with product manager and platform team.
- 02Done
Current-state assessment
Content inventory, navigation analysis, telemetry review.
- 03Done
Strategic recommendation
Five pillars, AI and non-AI, phased over twelve months.
- 04Done
Technical specification
Architecture, integration points, data flows, eval plan.
- 05In progress
IT review and planning
Implementation scope being scheduled.
- 06Queued
Implementation
One to two engineers embedded for the build phase.
/ stack
Mid-2026 tooling. Model-agnostic, vendor-replaceable.
Frontier models
- Claude Opus 4.7
- Claude Sonnet 4.6
- GPT-5.5
- Gemini 3.1 Pro
Sovereign / open-weight
- Mistral Large 3 / Devstral 2
- GLM-5.1
- Qwen 3.6
- DeepSeek V4 · Gemma 4
Runtime & retrieval
- MCP
- LangGraph · Temporal
- Pipecat · LiveKit
- pgvector · Turbopuffer
No lock-in. Anything we deploy, you can replace.