AI products for funded startups
A working AI product in weeks, on your own accounts, with a written report every week.
Blog / Category
AI systems
AI for sales, support and operations: assistants, scoring and automation that people can check and trust.
An AI demo takes an afternoon. An AI system that a sales team, a clinic or a fund manager relies on every day takes engineering: structured outputs, fallbacks when the model fails, human review where it counts, and a record of every decision.
We build AI agents and assistants that work with your own data and your own methods, and that people can check: every score with its evidence, every answer traceable to its source, every change tested before it ships.
This is for you if
- You want AI in sales, support or operations, not another chatbot demo
- Your method or data is your edge, and the AI has to use it, not replace it
- Your industry needs accuracy, security and an audit trail
Articles
-
Check a warning against a known answer before a manager sees it
Pipeline warnings that nobody has checked are just noise with confidence. With no real deals to test on, we built a test account where we knew every right answer, and the product had to match all 23.
-
How one person produces thousands of lessons with AI
SuperEscuela has 733 topics, 2,786 lessons and 13,705 practice questions, written by an AI pipeline against Costa Rica’s national curriculum. How the pipeline works, and where the AI is kept out on purpose.
-
A confident wrong number is worse than a missing one
A close rate that read 100% when the truth was 50%, feeding seven reports a sales manager would act on. How it happened, why we fixed it at the source, and what to check in your own dashboards.
-
Let customers connect their own CRM in one click
Self-serve software cannot ask every customer to copy an access key and book a call with their admin. How we built a one-click, read-only CRM connection, and why “what you did not share” deserves a screen of its own.
-
"Ingestion, normalization, trust: feeding practitioner data to an AI assistant"
An AI assistant for legal and healthcare practitioners is only as good as the records it can read. What we learned owning the integration and data layer of such a platform, and why calling an endpoint is the easy part.
-
"The right model, not the cheapest: what a few cents per lesson buys"
SuperEscuela started writing lessons with the smallest, cheapest AI model. We measured the quality against what children deserve, and moved to a larger one. Why the saving was never worth it, in numbers.
-
How to trust an AI score
An AI that rates leads, deals or documents is only useful if people can check it. The six things we build around every model before its scores reach a sales team.
-
Scoring sales calls with AI, against your own scorecard
A sales-coaching client had a scorecard proven by hand. We taught a product to score real calls against it, with evidence quoted from every call. What made the scores worth trusting.
-
What the first eight weeks of an AI product look like
A sales-coaching expert had a method proven by hand, a clickable mockup and an 8-week plan. The core product was working in eight weeks, as planned. Week by week, what that took, and how risks were handled along the way.
Related work
An AI sales-coaching product: from clickable mockup to working product in 8 weeks
Sales technology · client details withheld
A sales-coaching expert had a method proven by hand and a clickable mockup. We built the product around six AI agents that score calls against the client’s own scorecard, watch the CRM pipeline, prepare managers, coach reps, run one-to-ones and diagnose dips, with self-serve sign-up, CRM connection and billing.
Sales technology
Case data for a legal AI assistant
Practitioner AI platform · client details withheld
Integrations with legal case-management systems for an AI assistant used by law practices: ingesting contacts, cases and notes through REST and OAuth2, and normalizing them into validated records the assistant could use as context, with retries, rate limits and traceable logs around every call.
Legal services
Patient data for a health AI assistant
Practitioner AI platform · client details withheld
Integration work with healthcare practice, health-record and wellness systems for an AI assistant used by clinicians: ingesting practices, patients, notes and test results across REST, SOAP/XML, API keys and webhooks, normalized into one validated model, and handled to HIPAA, SOC 2 and GDPR expectations.
Healthcare
A mutual fund management tool with an AI assistant
Financial services · client details withheld
A management tool for mutual funds, built together with an AI assistant for the team that runs them.
Financial services
Building an AI product?
You do not have to do it alone.
Tell us what you are building and where it is stuck. We will tell you what is worth building next, and what the first practical step could be.
Prefer to write directly? enable JavaScript to see the address