What kinds of AI systems does WiscAI build?

WiscAI builds AI agents, voice AI applications, multi-model pipelines, retrieval-augmented generation (RAG) systems, evaluation and observability tooling, data ingestion pipelines, and full SaaS platforms. The studio has shipped 30+ products across consumer and enterprise markets, including baby tracking, voice notes, meeting intelligence, and marketing automation.

Does WiscAI build for iOS, Android, or web?

All three. WiscAI's portfolio includes native iOS apps (LilSense, SpokenPlan), web platforms, and enterprise backends. The studio chooses the platform that fits the use case — consumer AI often favors mobile-first, enterprise AI often favors web and API.

How does a custom AI build engagement start?

Most build engagements follow a discovery phase where the problem, data, and user workflow are mapped. Build itself is scoped in fixed-fee phases with working software at each checkpoint rather than a single waterfall delivery.

Which AI models does WiscAI use?

WiscAI uses the best model for the task — including Anthropic Claude, OpenAI GPT, Google Gemini, and open-source models where privacy or cost requires it. Model selection is driven by evaluation data, not brand loyalty.

Custom AI Development — Madison, Wisconsin

What We Build

Every major category of AI. Built for businesses.

We've built across AI agents, voice AI, document intelligence, SaaS platforms, and multi-model pipelines. Here's what we do.

Autonomous AI Agents

Systems that complete multi-step workflows without human intervention — document processing, data extraction, report generation, decision routing.

Voice AI

Inbound call handling, appointment booking, SMS follow-up. Fully autonomous voice agents that work around the clock at a fraction of human cost.

Multi-Model Pipelines

Complex workflows requiring multiple AI models in sequence — document classification, extraction, analysis, and narrative generation in a single automated flow.

AI SaaS Platforms

Multi-tenant, licensed AI products. We've built platforms serving NCAA athletic programs, private equity firms, and veterinary practices.

Document Intelligence

OCR, extraction, and classification for invoices, contracts, underwriting documents, and forms. Structured data from unstructured inputs.

Client Work

What custom AI development looks like

Three builds that show the range — enterprise platform to $0.18-per-call voice AI.

Sports & Athletics · Multi-Tenant Platform

NCAA Athletic Performance Platform

Multi-tenant recovery coaching platform serving NCAA athletic programs, including a national championship team. AI-driven daily assessments, personalized recovery plans, and a coach portal with team-level oversight. Built as a licensed content model — programs subscribe, athletes get personalized AI coaching, coaches get visibility. 142 activities licensed across organizations.

NCAA Championship Team 142 Activities Licensed

Private Equity · Institutional Grade

Portfolio Intelligence Platform

AI-powered deal analysis and portfolio intelligence for a private capital firm across alternative asset classes. Automated fund evaluation, LP reporting workflows, and market signal aggregation. Due diligence prep time reduced from days to hours. Custom-built with institutional compliance and confidentiality requirements — no generic SaaS tools.

Days → Hours Institutional Grade

Veterinary / Small Business · Voice AI

AI Phone Receptionist

A fully autonomous AI voice agent that handles inbound calls, books appointments, confirms details, and sends payment links via SMS — without any human intervention for standard bookings. The client went from paying for after-hours answering services to a system that costs $0.18 per call, runs 24/7, and never misses an appointment opportunity.

$0.18/call Fully Autonomous

Insurance & Reinsurance · AI Agent

Personal Lines Insurance Meeting Prep AI

AI meeting prep platform built for a top-tier captive personal lines insurance agent in Wisconsin. Document extraction turns dec pages into structured coverage analysis, gap identification, and recommendation tiers across home, auto, umbrella, and life. Multi-state coverage engine, ROI calculator, multi-seat team support. Live in production.

Hours → Minutes Multi-Model Pipeline

Why WiscAI

We build it. We don't just advise on it.

When we recommend a stack, it's because we're running it on real products built to solve real problems.

Some products live as client engagements; some live as standalone products people use directly:

SpokenPlan — Voice-first AI planning. Capture decisions, surface action items, track follow-through.
HeldTo — AI meeting intelligence. Records, transcribes, identifies speakers, extracts commitments.
RecoverEdge — AI recovery coaching for college athletic programs.
RecruitEdge — AI recruiting intelligence for college athletic programs.
AI Doc Scanner — AI document scanning and structured data extraction.
LilSense — AI-powered baby tracking. Featured by Apple in Best New Apps & Updates.

Same methods, same stack, same standards as our client work. When we tell you something works, it's because we've already broken it, fixed it, and deployed it.

Where Builds Land

Custom builds by function and vertical

Explore how custom AI development maps into specific departments and regulated industries.

Finance and Accounting → Operations → Credit Unions and Financial Services → Insurance → Collegiate Athletics →

Pair it with team enablement

Want to upskill your team alongside the build?

Pair a custom AI engagement with our Workshop & Advisory track — we audit, pilot, and coach your team to use new AI tools confidently. The two engagements run in parallel.

See AI Strategy Consulting →

Custom AI Development in Madison, Wisconsin