Tech & Innovation
AI for technology companies.
Built to ship, not to experiment.
SaaS, startups, and enterprise tech teams move fast. We build production AI that matches that speed, no research theater, no proof-of-concepts that never make it to production.
Why most tech AI projects
don't make it to production.
Technology companies are building AI into products and operations at the same time. The companies that get it right build AI that ships, scales, and stays in production. The companies that get it wrong have impressive demos, internal skeptics, and a growing pile of experiments that never connected to a real outcome.
Speak With a Tech AI ExpertWhy tech AI projects stall before they ship
- → Most AI vendors pitch the same foundation models to every company. Tech teams need custom architecture, not off-the-shelf wrappers with a premium price tag attached
- → Product organizations waste months on AI experiments that never ship because there's no clear path from prototype to production infrastructure
- → Fast-moving SaaS and startup teams can't afford the 9-month enterprise implementation cycles that most AI consulting firms are built around
- → AI-native companies face a different challenge, they're building AI into the core product, not bolting it on, and the architecture decisions made early compound for years
- → Enterprise tech organizations deal with legacy data infrastructure that needs modernization before AI can work at all, skipping that step is the most common reason projects fail
Core areas we build for technology teams
AI-Native Product Development
Production-grade AI embedded in your product, not bolted on after the fact.
SaaS Platform Intelligence
AI features that drive activation, retention, and expansion, not just demos.
Enterprise AI Modernization
AI infrastructure designed for scale, governance, and the complexity of real enterprise environments.
Startup AI Acceleration
From working prototype to production system in weeks, not quarters.
Building AI into your product or platform? Start with a conversation.
Our AI Discovery engagement maps your AI opportunity in 10 business days, tailored to your team's velocity, architecture constraints, and what production actually means for your business.
Built to ship.
Designed to scale.
Most AI for tech companies gets stuck between working prototype and production-ready system. We close that gap. Startup needing your first production AI feature. SaaS company embedding intelligence into your platform. Enterprise modernizing a legacy stack. We build AI that ships and stays shipped.
Talk to a Tech AI ExpertWhat We Build
AI-Native Product Development
Architecture design, model selection and fine-tuning, RAG systems, agentic workflows, and production deployment. We embed AI into the product layer as core functionality, not a feature tag, with API design, latency optimization, and multi-tenant infrastructure all in scope.
AI product features go from concept to production in weeks. Product teams get working systems with real users on them, not research projects with no deployment path.
SaaS Platform Intelligence
AI capabilities built into SaaS platforms for activation, retention, and monetization: intelligent onboarding, usage-based insights, predictive churn signals, AI-assisted workflows, and embedded copilots, with multi-tenant data isolation, usage metering, and cost controls built in because the AI cost per customer has to make business sense.
SaaS teams ship AI-powered features that users actually adopt. Retention and expansion metrics move because the AI is part of the workflow, not an optional add-on.
Enterprise AI Modernization
AI transformation for enterprise tech companies managing scale, governance, and legacy infrastructure complexity. We modernize data architecture to create the foundation AI requires, build model governance frameworks with auditability and compliance documentation, and design change management programs for the reality of distributed engineering organizations.
Enterprise tech organizations move from AI pilot to production without the 18-month enterprise implementation cycle, or the post-launch adoption failure that follows most large deployments.
Startup AI Acceleration
Technical co-founder-level AI expertise without the hiring timeline. We help early-stage and growth-stage companies define their AI architecture, stand up production infrastructure, and build the first AI-powered features that demonstrate product-market fit, with fast decisions on model strategy, build vs. buy, fine-tuning vs. RAG, and infrastructure that won't require a full rebuild at Series B.
Startups get enterprise-grade AI infrastructure without enterprise-grade implementation timelines, and the architecture scales so teams aren't rebuilding everything when they raise.
Developer Productivity & Internal AI Tooling
Code review assistants, documentation generation, automated testing, internal knowledge bases with RAG, and intelligent process automation for engineering operations. We build internal AI with the same production standards as customer-facing systems: access controls, logging, auditability, and cost management.
Engineering teams get productivity gains that actually show up in output metrics, not AI tools that get deployed once, used twice, and quietly abandoned.
Proof From Production
AI Features Ship in Weeks, Not Quarters
Series B SaaS Company
Architecture design, model selection, RAG systems, agentic workflows, and production deployment. API design and latency optimization included.
AI Becomes a Product Moat, Not a Feature Flag
SaaS Platform
Intelligent onboarding, usage-based insights, predictive churn signals, AI-assisted workflows, and embedded copilots. Multi-tenant data isolation and usage metering.
From AI Pilot to Production Without 18 Months
Enterprise Tech Firm
Data architecture modernization, model governance frameworks, auditability documentation, and change management program built for the organization's structure.
Enterprise AI That Clears Security Review
Enterprise Software Team
Role-based access controls, documented model behavior, and compliance documentation designed for enterprise security teams.
Start with AI Discovery.
Know what's worth building before you commit to building it. Fixed scope, 10 business days, $15K credited to your first build.