Engineers who ship into your production.
We send a senior engineer to you. They work in your stack, alongside your team, and stay until the system is live and running. Fixed fee, agreed before we start.
No slide decks, no roadmap theater. Every engagement ships working software.
Claude Implementation & Integration
We stand up Claude in production, integrated into your existing products, internal tools, or customer-facing applications.
- Production Claude deployments integrated with your stack
- Prompt engineering, evals, and guardrails
- Integration with existing products & internal tools
RAG & Knowledge Systems
We build retrieval systems over approved documents and data, with evaluation, access controls, and a fallback when evidence is missing. Retrieval does not eliminate model errors.
- Custom retrieval over proprietary data sources
- Vector databases, embedding pipelines, hybrid search
- Document ingestion, chunking, and indexing strategies
Agentic Workflows & Automation
We design and ship multi-step agent systems that replace manual processes and unlock net-new capabilities.
- Multi-step agent systems for internal operations
- Tool use, function calling, and agent orchestration
- Workflow automation that replaces manual processes
Data Infrastructure & Analytics
Modern data stacks that actually move data where it needs to go, architected and operated end to end.
- GA4, BigQuery, and data warehouse architecture
- ETL and reverse-ETL pipelines
- DataBackfill Sync as a productized reference implementation
We're selective about what we take on. Here's what we've shipped.
DataBackfill Sync
Historical GA4 data isn't available in BigQuery by default — no reliable path for long-term trend analysis.
A production SaaS that pulls historical GA4 data via the Data API directly into a customer's BigQuery instance. No data stored on our side.
1,400+ successful syncs. 99.9% uptime. Hundreds of properties served. Still running.
Tempo
Generic training plans ignore how readiness and recovery shift across the menstrual cycle, producing worse outcomes and higher dropout.
An adaptive fitness coach that learns from daily check-ins and adjusts workout intensity using cycle-phase context.
Live on the App Store as Tempo Cycle. 5.0 rating.
AssetOS
Special situations investors juggle tax liens, judgments, probate, minerals, and surplus funds across 5+ disconnected systems — Excel trackers, CRMs, manual deadline calendars. One missed redemption deadline can mean a five-figure loss.
A unified platform with 7 specialized AI agents that calculate statutory interest across jurisdictions, monitor court dockets, generate legal forms, and track redemption deadlines around the clock.
170+ assets under management. Production-ready, MIT-licensed codebase. Live demo running across all 5 asset classes.
Three stages. An engineer is embedded with your team for all of them.
Discover
A scoped discovery sprint to understand the problem, the constraints, and the right shape of solution.
Build
We ship working software, not recommendations. Every engagement ends with something in production.
Operate
Hand off cleanly, or stay on retainer to evolve the system as your needs grow.
Every engagement gets a senior engineer embedded with your team. Not a manager relaying to a build happening somewhere else. The person in your standup is the person writing the code.
AI & ML Engineering
Engineers who have shipped production AI systems: LLM integrations, fine-tuning, evals, and inference optimization.
Infrastructure Architecture
Architects who design for scale, reliability, and cost: cloud infrastructure, data platforms, and distributed systems.
Product Design for AI
Designers who understand AI constraints and build interfaces that make intelligent systems feel intuitive to end users.
Implementation & Delivery
Delivery leads who keep engagements on track: scoping, sequencing, and surfacing risk before it becomes a problem.
Full-Stack Engineering
Engineers who own the full surface: frontend, backend, APIs, and integrations, without handing off at every layer.
Data Engineering
Specialists in pipelines, warehouses, and data modeling who make sure the right data gets to the right place reliably.
We staff by fit, not availability. Everyone on the bench has shipped production systems before, and nobody is learning on your project. We take a limited number of engagements at a time because the model only works if the engineer is actually present.
"It never felt like hiring a vendor. It felt like adding a team that cared whether the thing actually worked."
No seat-based tiers. Scope drives price, and every engagement starts with a conversation.
- Technical plan & architecture diagram
- Rough estimate for the build
- Clear go / no-go recommendation
- Architecture, engineering, integration
- Working software in production
- Documentation & handoff session
- Dedicated capacity post-launch
- Regular check-ins
- A team that already knows your stack