Do I need all four platforms?

Not always. The one-week audit shows which platform to start with. Because we run all four, a reporting problem that turns out to be an integration problem does not need a second vendor.

How long until something runs in production?

Discovery and audit take one week. After the audit, the platform runs on your real data within 90 days at most, and a proof of concept can be ready in as little as 24 hours.

Who owns the software?

We own our platforms, license them to you, and run and maintain them. Code we build into your own product belongs to you, and so do your data and your configuration.

Can your team work on our own product?

Yes. As your fractional AI team we help deploy your product to your customers and build proofs of concept and new features. Code we build into your product belongs to you.

What we deploySheet S-01

Four platforms for production AI agents, data, integration and workflow automation.

The problems are usually connected. A reporting problem turns out to be a data model problem, and that turns out to be an integration problem. Our fractional team deploys all four inside your business and runs them, so nothing gets lost in a handoff between vendors.

Production AI agent platform

Runs AI agents unattended in production, with an evaluation set from your own cases, tracing on every request, approval gates on any write to a system of record and a full audit trail.

▸ Revenue reconciliation agent
▸ AI agent evaluation

Production AI agent platform in detail →

Claude and OpenAI APIs

AWS Bedrock

MCP tooling

Evaluation and tracing

Data platform

Builds the pipelines, data models, identity resolution and reporting. We design the data model first, because most reporting problems are data model problems.

▸ Customer identity resolution
▸ Geospatial risk scoring

Data platform in detail →

PostgreSQL

Python and pandas

BigQuery

Apache Spark

Integration platform

Connects your systems over REST, GraphQL and webhooks on one shared base, so adding the next system is configuration, not a rewrite.

▸ CRM and billing connectors
▸ Internal tools and databases

Integration platform in detail →

FastAPI

TypeScript

OAuth2, JWT, SSO

Docker, AWS, GCP

Workflow automation platform

Automates handoffs with scheduled jobs and event-driven workflows. A person approves any step that writes to a system of record.

▸ Request routing
▸ Quotes and approvals

Workflow automation platform in detail →

Scheduled jobs

Event-driven workflows

Human approval steps

The method · Sheet S-02

The method comes from experimental physics: measure, model, control, improve.

Measure

Find out what is actually happening before changing anything.

Model

Describe how the system really behaves, including where its data is wrong.

Control

Put guardrails, approvals and an audit trail around every change.

Improve

Make the next change based on production numbers, then measure again.

What we don't do

We don't run ad campaigns or write marketing copy. We build and run the data, integration and AI systems underneath them.

Questions · Sheet S-03

Questions about working with us.

Not covered here? Send us your question and an engineer will answer it.

Ask a question

Do I need all four platforms?: Not always. The one-week audit shows which platform to start with. Because we run all four, a reporting problem that turns out to be an integration problem does not need a second vendor.
How long until something runs in production?: Discovery and audit take one week. After the audit, the platform runs on your real data within 90 days at most, and a proof of concept can be ready in as little as 24 hours.
Who owns the software?: We own our platforms, license them to you, and run and maintain them. Code we build into your own product belongs to you, and so do your data and your configuration.
Can your team work on our own product?: Yes. As your fractional AI team we help deploy your product to your customers and build proofs of concept and new features. Code we build into your product belongs to you.