About GridTailor
Built by a CTO who has run multi-model AI in production.
GridTailor exists because we've built the hard parts before: secure integrations, several AI models working side by side, and systems that have to prove what they did.
Founder
Ryan Potts, Co-founder
Ryan was CTO of a consumer fintech company that used AI to produce financial predictions. He led the technology from architecture to production, including the brokerage integration and the multi-model AI pipeline. The company succeeded, and Ryan was later bought out.
He started GridTailor to give regulated and growing companies the same foundation without building it from scratch. He also offers the same experience directly through CTO in a Box.
Track record
Multi-model AI for financial predictions
A production system that combined brokerage data with five AI model families.
Data in
Integrated the Public.com API, with the retries, rate limits and credential security a brokerage connection requires.
Models side by side
Connected five AI model families and used them together to form financial predictions:
- OpenAI GPT models
- Anthropic Claude
- Google Gemini
- xAI Grok
- Meta Llama
Company name withheld for confidentiality. Product and company names are trademarks of their owners and describe integrations only; no affiliation or endorsement is implied. GridTailor does not provide investment advice.
Lessons
What carried over into GridTailor
Never depend on one model
Models differ in accuracy, speed, cost and uptime, and the leader changes often. GridTailor puts every model behind one interface, so you can compare, combine and swap them.
Integrations are the real product
AI is only as good as the data feeding it. Keeping data flowing, retried, rate-limited and reconciled is most of the work. That's GridTailor API Connections.
If you can't show the evidence, don't show the answer
In finance, an answer nobody can trace is a liability. That's why GridTailor's AI must cite the evidence behind every answer.
Security and cost controls from day one
Brokerage credentials, many AI API keys, per-request costs and regulated data don't forgive shortcuts. In GridTailor, least privilege, audit trails and metering are built in.
Building with AI in a regulated business?
Talk to someone who has shipped it in production, with real money on the line.