Production AI, shipped fast
and built to compound.
Boutique team, enterprise track record. Staffed with senior engineers who’ve shipped production AI from the Fortune 100 to the mid-market.
Our partners
Customers
Production systems our clients use every day.
Your first use case is in production in 4–6 weeks.
How we work
We build it for you, or for your customers.
Hire us to ship your AI use cases to production, or embed our engineers in the AI and FDE work you deliver to your own customers.
For companies putting AI into production.
You hire AcornAI. We work inside your team on one use case at a time, and your engineers own what we build.
Talk to us about your first use caseFor AI and data platforms that run forward-deployed engineering programs.
When your FDE program needs more hands, our engineers join it. They work on your customer accounts, on your platform, inside your program.
Talk to us about FDE capacity-
Embed
Join the team that owns the problem.
We work in your tools, join your standups and pick the one use case worth shipping first.
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Architect
Agree on the path to production.
Data access, integrations, model routing, evaluation gates and security boundaries, agreed before any code is written.
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Ship
Build it live, and demo it every week.
We take the first workflow end to end, with evaluations, guardrails and monitoring, and we stay until people use it every day.
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Hand over
Your engineers ship the next change.
Runbooks, pairing, code reviews and reusable templates, until your engineers ship changes on their own.
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Staff
Match engineers to the account.
Tell us the customer, the use case and the stack. We assign engineers who fit the work.
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Onboard
Run on your playbook.
We work in your program’s tools, playbooks and reporting, alongside your FDEs.
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Ship
Deliver on the customer account.
We build the use case on your platform, in the customer’s environment, with the evaluations and monitoring that prove it works.
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Hand back
Hand the account back.
Runbooks go to your FDE team and the customer. They run the account after we roll off.
Our services
Work we do in your environment, with your engineers.
Build
Custom agents, knowledge graphs and forecasting.
- Custom Agent and App DevelopmentAgents and AI applications built for one workflow and run in production.
- Context and Knowledge GraphsTurning what your company knows into context your AI systems can use.
- ML and Enterprise ForecastingForecasting at enterprise scale, like forecasting Black Friday demand to plan staffing.
Adopt
AI-native software delivery, and a data foundation with agents for GTM and finance.
Optimize
A company-wide AI plan, lower AI spend, and models tuned to your data and proven by evals.
Security
Runs inside your environment,
under your controls.
- On-premises
- Private cloud
- Air-gapped
- At the edge
FAQ
Common questions
Who will actually work on our project?
The team you meet is the team that builds: no juniors and no bench rotation. They work alongside your team and demo progress every week.
Do we need our own AI team?
No. We pair with the engineers you have, and training, runbooks and code reviews run from the start, so your team can run the system when we leave.
Who owns what you build?
You do. We hand over the code, the runbooks and the harness, and your engineers ship the next change.
Which AI models do you use?
Whichever fits the job, from Anthropic, OpenAI, Google and xAI to open source models, chosen by how they perform on your workflow.
How do you prove it works?
We agree on the evaluations before any code is written, then run them on every change, alongside monitoring and guardrails in production.
How is pricing structured?
Fixed fees for scoped projects, or a monthly retainer for an embedded team. A first workflow is in production in 4–6 weeks.