AI Agents & Workflows
Agentic systems that do real work inside your existing tools — with evaluation harnesses, guardrails, and a human in the loop where it matters.
Typically in production inside 8 weeks
Forward-deployed AI engineering
We embed, we ship, you own it.
Forward-deployed AI engineers and growth marketers who work inside your team — taking AI systems from prototype to production, then handing back something you can run without us.
Teams we have shipped with
Northwind HealthLumen PaymentsSignal CommerceHarborlineEwinntGreenGro
What we do
Five ways we plug in.
Small senior teams that deploy into your codebase and your go-to-market, not a discovery deck and a handover.
AI Software Development
Web and mobile products with AI in the architecture from the first commit — not a chat widget bolted onto a finished app.
From first commit to store release
Data & Platform Engineering
The layer most AI projects stall on: ingestion, lineage, and infrastructure that stays affordable as volume grows.
Median 38% infrastructure cost reduction
Go-to-Market Engineering
Growth operators who build rather than brief — lifecycle automation, lead intelligence, and the instrumentation to know what is working.
Shipped alongside the product, not after it
Embedded Delivery Teams
Two to four senior people who join your standups, your repo, and your on-call — then hand the system back with the runbooks written.
Every engagement is designed to end
Partnering on your AI journey.
A senior-only bench, deployed into client teams rather than managed from a distance. These are the numbers we are held to.
- 40+
- AI systems shipped to production
- 12days
- Median time from kickoff to first merge
- 6
- Industries with a domain partner beside us
- 92%
- Of engagements extended or renewed
Proof
Featured success stories.
Every engagement is measured against a number we agreed before writing code.
Northwind HealthHealthcare & Life Sciences
HL7 ingestion cut from 40 minutes to 90 seconds across 10M patient records
Data & Platform EngineeringEmbedded Delivery Teams
“They rewrote the most load-bearing pipeline we have while it was running, and we did not lose a single message. The handover docs are better than anything we write internally.”
Dr. Aris Thorne
Chief Medical Technology Officer
Lumen PaymentsFintech & Payments
50% lower AWS spend while scaling tax compliance across 25 jurisdictions
Data & Platform Engineering
“We assumed the cost curve was the price of compliance. It turned out to be the price of one scheduling decision made three years ago.”
David Miller
Chief Technology Officer
EwinntAI & Enterprise Data
9 AI agents unifying content operations across 5 integrations
AI Agents & WorkflowsEmbedded Delivery Teams
“Nine small agents that each do one thing well, instead of the one big agent everyone else pitched us. It has been running for months without babysitting.”
Dr. Henry Park
VP Engineering
Where we work
Domains we know well enough to argue in.
We only take work in markets where we — or a partner — have shipped before. These are ours.
Healthcare & Life SciencesHIPAA-bound data platforms, HL7 and FHIR pipelines, and clinical workflows that have to survive an audit.Fintech & PaymentsLedger architecture, reconciliation, and compliance automation where being approximately right is being wrong.Commerce & RetailHeadless storefronts, catalogue intelligence, and infrastructure that holds up on the one day a year it matters.Real Estate & PropTechMLS and RESO integrations, building telemetry, and valuation models built on messy, fragmented feeds.AI & Enterprise DataRetrieval systems, agent workflows, and the unglamorous data plumbing that decides whether either works.Logistics & Supply ChainRouting and scheduling optimisation, EDI integration, and telemetry across fleets that do not stop for deploys.
The stack we build on
From model to production — and into your hands.
We work across the tools our clients already run — the model layer, the platform it runs on, the product it ships inside, and the documentation you keep afterwards.
AIAnthropicLangChainHugging FaceCloudAWSGoogle CloudAzureTerraformCloudflareDevelopmentNext.jsPythonPostgreSQLDeliveryMintlifyStorybookGitHub Actions
Insights
What we are learning in production.
Notes from the work — architecture decisions, go-to-market teardowns, and the things that did not go to plan.
Engineering & Architecture
Designing HIPAA-Compliant Microservices on Kubernetes: Lessons from 10M Patient Records
A comprehensive architectural blueprint detailing encryption-at-rest, audit logging pipelines, and zero-trust mesh networking in modern health environments.
Marcus VanceOCT 14, 20268 MIN READ
B2B Growth
The Developer Marketing Flywheel: How to Acquire 10,000 CLI Users Without Paid Ads
Actionable playbooks on documentation SEO, automated terminal analytics, and OSS package repository discovery loops designed for technical founders.
Julian SterlingOCT 08, 20265 MIN READ
Engineering & Architecture
Zero-Copy Serialization in High-Throughput Rust Services
Bypassing serde overhead at 40Gbps networking bounds. Examining rkyv memory safety semantics, direct kernel ring buffers, and SIMD string parsing.
Alex RiveraOCT 03, 202612 MIN READ
Engineering & Architecture
Real-Time Financial Ledgers: Dual-Entry Accounting Patterns in PostgreSQL
Mathematical atomicity guarantees under high concurrency. Mitigating write skew, lock contention in hot accounts, and implementing continuous immutable auditing.
David MillerSEP 29, 20269 MIN READ
Have a system to ship
Bring us the problem that keeps stalling.
A 30-minute working session with the engineers who would do the build — not an account manager. You leave with an architecture opinion either way.
Know a market better than we do
Partner with us on your domain.
You bring the domain judgement and the relationships. We bring the engineers who turn it into shipped software. Revenue-shared, no exclusivity.
How partnership works