Trust engineering
for the AI era.
We build AI and cloud systems engineered to hold up, and independently verify the ones you already have.
Trust engineering
Build it right, or make sure it already is.
Same senior engineers, same standard, whichever entry point you need: starting fresh or checking what's already in production.
Build
AI platforms, agent infrastructure, cloud foundations, product engineering: architected right from day one. Security and reliability built into the system, not bolted on after an incident.
- AI & agent infrastructure
- Cloud foundations & platforms
- Product engineering
Verify
Independent review of systems already in production: yours, a vendor's, or code your team shipped fast with AI tools and hasn't fully vetted. We trace the logic, the data flow, and the permission model, then hand back what's actually risky.
- Architecture & security review
- AI-specific risk audit
- Fix guidance or full remediation
What we build, we run.
The same senior engineers who deliver the system are responsible for operating it in production.
AI Services
We build and operate AI systems in production environments, including RAG pipelines and agent workflows. That covers model tuning, evaluations, guardrails, MLOps, and monitoring long after deployment. Plus trust engineering: independent security and quality validation for systems your team or a vendor already shipped, so it's safe to run in production.
- LLM fine-tuning & deployment
- Agentic workflows & orchestration
- Evaluation frameworks & guardrails
- Trust engineering & production readiness
RAG · Agents · MCP · MLOps · Guardrails · Trust Engineering
Product Engineering
Web, mobile, and platform builds from discovery to launch, with quality engineering and managed support baked in.
Platforms · QA · Design systems
Data
Strategy, governance, pipelines, and lakehouse platforms that make data trustworthy and usable.
Lakehouse · Streaming · BI
IT & Cloud Infrastructure
Cloud foundations, Kubernetes platforms, modernization, and SRE/FinOps for reliability at cost.
AWS · Azure · GCP · K8s
Technology Consulting
Independent architecture reviews, due diligence, and modernization roadmaps from senior engineers.
Architecture · Due diligence
Not sure where to start?
A senior engineer will review your situation in 30 minutes. No deck, no pitch.
OpenAI / GPT-4o·Anthropic Claude·Gemini·LangChain·LlamaIndex·LangGraph·CrewAI·MLflow·Hugging Face·Pinecone·Weaviate·Ray·Triton·ONNX
AWS·Azure·GCP·Kubernetes·Terraform·Helm·Kafka·Spark·Airflow·dbt·Snowflake·Databricks·BigQuery·PostgreSQL·Redis·Elasticsearch·Go·Python·TypeScript·Java·Rust·FastAPI·gRPC·GraphQL·Prometheus·Grafana·ArgoCD
Teams that stay on the problem, start to finish.
Four practice areas, staffed exclusively with senior engineers who stay on the same problem long enough to ship it.
Platform Engineering
Lakehouse, streaming, governed analytics at scale.
- Data platforms
- Event-driven systems
- Observability
- Pod tenure
- 22 mo
- Senior+ ratio
- 100%
Applied AI
Forecasting, orchestration, agentic workflows in production.
- LLM orchestration
- Evaluation & guardrails
- MLOps
- Models in prod
- 60+
- Eval coverage
- 94%
Connected Systems
IoT, edge data pipelines, fleet operations.
- Edge ingestion
- Device management
- Fleet telemetry
- Devices managed
- 1.2M
- Edge uptime
- 99.98%
Product Engineering
Web, mobile and platform delivery for regulated domains.
- Web & mobile
- Design systems
- Compliance-ready
- Releases / wk
- 40+
- Time-to-first-commit
- 9 d
Case study · Logistics
Cutting freight settlement from 9 days to 4 hours.
We rebuilt the back-office settlement system on an event-driven architecture, replaced three legacy ETL jobs and shipped a new operations console in fourteen weeks.
- 54×
- Settlement speed
- $3.2M
- Annual saving
- 3
- ETL jobs retired
Stack
- Stream
- Apache Kafka · Flink
- Store
- Postgres · Iceberg
- Service
- Go · gRPC · Temporal
- Edge
- Next.js · TanStack
"The team we benchmark every other vendor against. Predictable, senior, and measurably better engineering.
10+
Years as primary partner
3
Products shipped together
Insights
Latest from our engineering desk.
- ArchitectureMay 22, 2026
Six mistakes to avoid when launching corporate e-learning at scale.
Cohort sizing, content pipelines, and the SCORM tax nobody plans for.
- HealthcareMay 16, 2026
Big data in healthcare: applications, constraints and the cost of getting it wrong.
What HIPAA-compliant lakehouses actually look like in production.
- AIMay 9, 2026
Choosing an AI infrastructure platform: seven things worth weighing first.
Eval, governance, latency, lock-in: a procurement checklist for 2026.
Get started
A 30-minute review with a senior engineer.
No deck, no pitch. An honest read on where the next dollar of engineering should go.