Prove your AI works before it reaches production.
An enterprise AI engineering consultancy. We measure it before we ship it, and we build the tenancy, cloud, and observability underneath that keeps it standing when real traffic arrives.
Every engagement includes
- A written decision record for every consequential choice
- An evaluation harness and CI gate before any AI pipeline
- Working software in production — not a prototype
- The same engineers from the first call to production
Fixed scope. Fixed price. No bench to keep busy.
- No pyramid
- The engineers who scope the work are the engineers who build it.
- Fixed scope
- Priced and bounded before we start, not reconciled after.
- Evaluated, not demoed
- A golden set and a CI gate before the pipeline, not after the pilot.
We think most software is bought as a project and inherited as a liability. Everything about how we work is an argument against that.
How we build it
Three architectures we bring into new engagements, each written up in full — schema, code, failure modes, and the trade-offs we would argue about.
- AI systems
Contract intelligence platform
Hybrid retrieval over a high-volume document corpus, with citation-grounded generation and a review queue for anything under the confidence threshold.
- Retrieval
- Hybrid
- Grounding
- Cited
- Pilot
- 6–8 wks
- Cloud platform
Multi-region platform, staged
Four stages from single-AZ to active-active, each one removing a named failure mode. Most teams should stop at stage two, and we will say so.
- Stages
- Four
- IaC
- Terraform
- Pilot
- 8–12 wks
- Custom development
Multi-tenant SaaS foundation
Tenancy and isolation model, SSO with role-based access, metering hooks, and an audit log — the work that has to exist before feature delivery gets predictable.
- Isolation
- RLS
- Access
- SSO + RBAC
- MVP
- 12–16 wks
Applied engineering research
Whitepapers and technical guides published in full — schemas, working configuration, measured trade-offs, and the failure modes each decision is designed against.
- Whitepaper18 min read
Pay for an agent only where steps are unpredictable
You are choosing between a system that decides what to look up once and one that decides on every step. At list prices, eight steps bill roughly ten times more.
- Agents
- RAG
- Technical guide16 min read
Microservices: when the boundary earns its cost, and when it does not
Service count is not the goal — independent deployability is, and the two are frequently unrelated. A decision framework, the arithmetic a network boundary adds, and the five situations where the correct answer is one service.
- Architecture
- Microservices
- Whitepaper22 min read
Cloud observability: instrument everything, keep almost none of it
The three questions an on-call engineer actually needs answered, the signals that answer them, and why your bill is set by cardinality and retention rather than traffic. With Collector config, burn-rate alerts, and list prices from six platforms.
- Observability
- OpenTelemetry
Start with the smallest useful thing
A two-week architecture review costs a fixed fee and ends in a document you own. If the answer is that you do not need us, that is in the document too.
What happens next
- A 45-minute call with the engineer who would lead the work
- A one-page scope and fixed price within the week
- No procurement theatre and no bench to keep busy