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Two Forward Deployed Engineer pods open for Q4
Forward Deployed AI For Series A Teams.
AI consulting that ships real software. Our Forward Deployed Engineers join your team to turn AI prototypes and messy data into live production products in weeks.
What our Forward Deployed Engineers build with
OpenAI & Claude
LangGraph Agents
RAG & Vector DBs
Kafka & Flink
Apache Iceberg
( 01 ) Above the canopy
- 48 hrs
- to get a clear technical plan and fixed milestone price
- 2 wks
- from kickoff to a working AI prototype on your real data
- 6 wks
- typical time to launch in production and train your team
- 100%
- your code, your cloud account, and your intellectual property
( 02 ) What we do
AI consulting for clear direction. Forward Deployed Engineers to get it built.
We never hand you a slide deck and walk away. Our Forward Deployed Engineers sit with your team to find the highest value AI workflows and build them end to end.
Senior AI engineers who join your Slack, work inside your GitHub repo, and ship production code every week until your AI product is live and your team can run it comfortably.
- Embedded in Slack
- Daily Code Commits
- Full Stack AI
- Team Pairing
- Clean Handoff
We build custom AI assistants and automated workflows connected to your company data, complete with strict citation checks and guardrails so they never make things up.
- LangGraph Agents
- OpenAI & Claude
- Private Company Search
- Tool Calling
- Accuracy Testing
Not sure where AI will actually save time or make money? We review your workflows and data, rank the best opportunities, and build a working proof of concept in two weeks.
- Use Case ROI
- Data Readiness Check
- Model Selection
- Cost Forecast
- Working Prototype
Great AI needs clean, reliable data. We replace slow, broken scripts with modern streaming pipelines and open data tables inside your own cloud account.
- Kafka & Flink
- Apache Iceberg
- Live Data Feeds
- Cloud Cost Cuts
- AWS, GCP & Azure
Already have an AI feature that feels slow, expensive, or unreliable? We add automated quality tests, privacy guardrails, and smarter model routing to cut costs and boost accuracy.
- Automated Evals
- Privacy Guardrails
- Speed Optimization
- Token & GPU Savings
( 03 ) Shipped by our FDEs
Real AI products and data pipelines built with our clients.
( 04 ) How we work
From first call to live AI in six weeks.
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01SeedDays 1 to 5
AI scope & technical plan
We review your goals, data, and current stack. Within 48 hours, you get a plain English technical plan, system diagram, and fixed milestone pricing.
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02SaplingWeeks 1 to 2
FDE embed & working prototype
Our Forward Deployed Engineers join your Slack and GitHub. We connect to your real company data and ship a working AI prototype inside your cloud.
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03BranchWeeks 3 to 5
Production build & accuracy testing
We build out the full AI workflow and data pipelines, add automated accuracy checks and safety guardrails, and tune speed for real user traffic.
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04CanopyWeek 6 onward
Launch & team handoff
We launch to production alongside your engineers, write clear runbooks, and train your team so you can run and grow the system without relying on us.
( ✦ ) In the shade, with engineering leaders
( 05 ) Pricing & Models
Simple ways to work together. Fixed milestone pricing.
Start with a two week AI sprint, scope a full production build, or embed a Forward Deployed Engineer pod directly with your team.
AI Readiness & PoC Sprint
$14,000 2 week sprint
A fast two week sprint to validate your highest value AI use case and ship a working prototype on your real data.
- AI opportunity & data readiness review
- Working AI prototype in your repo
- Model choice & monthly cost estimate
- Step by step production roadmap
Production AI BuildMost chosen
$18,500 /milestone
Our Forward Deployed Engineers design, build, test, and launch your AI product or data pipeline inside your cloud.
- Senior Forward Deployed AI Engineers
- Custom AI agents, RAG, or data pipelines
- Automated accuracy checks & guardrails
- 30 day post launch support warranty
Embedded FDE Pod
Custom quarterly pod
A dedicated pod of Forward Deployed Engineers embedded in your Slack and sprint cycle to ship your AI roadmap.
- Dedicated senior AI & data engineers
- Daily Slack, PR reviews & standups
- Team training & engineering hiring help
- Pause or wrap up at any milestone
( 06 ) Questions
Common questions about our AI consulting and FDE model.
Have a specific AI project or question? Write to us directly. A senior engineer replies to every note.
Unlike traditional consultants who only make slide decks, our Forward Deployed Engineers join your Slack and GitHub to build and launch production AI software directly alongside your team.
You get a clear technical plan, a system diagram, weekly milestones, expected cloud costs, and a fixed price quote so you know exactly what will be built and when.
We send your written project scope within 48 hours and can start building within one to two weeks. We only take on two new client pods per quarter so senior engineers lead every project.
You do, 100% from day one. All code, AI prompts, data pipelines, and documentation live inside your GitHub and your cloud account, never ours.
We build everything inside your own AWS, GCP, or Azure cloud account under strict access controls and a mutual NDA. Your customer data never leaves your environment or trains public models.
We train your team, write clear documentation, and include a 30 day post launch warranty on every build so your engineers feel completely confident running the system.
Ready to ship AI that actually works in production?
Tell us what you want to build. A senior Forward Deployed Engineer will reply within 48 hours with a clear plan, timeline, and fixed price scope.