GenAI Product Development

We build custom AI applications that do real work for your business — from smart assistants and search tools to AI-powered features inside your existing product. You bring the problem, we handle the tech.

Who This Is For

Business owners and teams who want to add AI capabilities to their product or operations but don't have an in-house AI team to build it. Whether you're launching something new or making an existing tool smarter, we're your technical partner from day one.

Deliverables

What We Deliver

AI-Powered Applications
Custom applications with AI built in — chatbots, search tools, recommendation engines, document analyzers, and more. Designed for your specific use case, not a generic template.
Smart Search & Knowledge Systems
AI that searches and understands your company's data — documents, policies, product info, case files — and gives accurate, sourced answers instead of generic responses.
AI Feature Integration
Add AI capabilities directly into your existing product or platform. Auto-categorization, intelligent suggestions, content generation, summarization — whatever makes your product smarter.
Model Tuning & Optimization
We fine-tune and optimize AI models to work better for your specific domain, improve accuracy, and keep your costs under control as you scale.
APIs & Backend Systems
Reliable APIs and backend architecture that power your AI features — built to handle real traffic with proper error handling, monitoring, and security.
Responsible AI Practices
We build with guardrails from the start — content filtering, bias checks, data privacy, and compliance considerations baked into every project. Not an afterthought.

In Practice

What This Looks Like

Legal Research Platform

Built an AI-powered legal research platform (CaseIntel) that uses multiple AI agents to search, analyze, and cross-reference case law. Attorneys upload documents and get instant classification, privilege detection, and relevant case recommendations.

Result

70% reduction in legal research time. 95% accuracy on case relevance. Processing 1,000+ queries daily.

Customer Support Automation

Built an AI support agent for a SaaS company that connects to their knowledge base, ticketing system, and CRM. Handles first-touch support conversations with full context of the customer's history and account status.

Result

60% of tier-1 tickets resolved automatically. Response time dropped from 4 hours to 30 seconds.

Internal Knowledge Assistant

Created an AI assistant for a growing team that answers employee questions using internal documentation — HR policies, product specs, onboarding guides, SOPs. Accessible via Slack and web, with sources cited on every answer.

Result

Saved an estimated 15 hours per week in internal Q&A. New hire onboarding time cut by 40%.

Investment

Timeline & Pricing

Typical Timeline

Most projects run 8–16 weeks from kickoff to launch. We work in 2-week sprints so you see working software early and often — not a big reveal at the end.

  • Discovery & scoping: 1–2 weeks
  • MVP build: 4–8 weeks
  • Testing & iteration: 2–4 weeks
  • Launch & handoff: 1–2 weeks

How Pricing Works

Every project is scoped and priced upfront — no hourly billing surprises.

  • MVP / proof of concept: starting at $5K–$10K
  • Full production system: $10K–$75K+ depending on complexity
  • Ongoing support & iteration: monthly retainer options available

Success Stories

Related Case Studies

See how we've helped other clients achieve their goals with similar services.

Ready to Build?

Tell us what you're trying to build or what problem you're trying to solve. We'll let you know if AI is the right fit and what it would take to get there.