40%time lost to tool switching
time lost to fragmentation
Your team wastes hours searching across disconnected tools. Critical context gets lost between handoffs.
AI Consulting for Enterprise
We build AI systems
that ship to production
that ship to production
Custom AI agents and automation for your business. Production-ready. You own the code.
The Problem
AI adoption is harder than it should be
- 3×higher switching costs
vendor lock-in risk
Every third-party AI tool creates dependency. When they change, your workflows break.
- 87%AI pilots fail to deploy
pilots that don't scale
Most AI projects stall at proof-of-concept. They weren't designed for production from day one.
We build production-ready AI systems that integrate with your existing infrastructure. You own everything.
What We Build
End-to-end AI systems, built for production
From architecture to deployment, we deliver systems that work on day one—and scale from there.
System Architecture
Design multi-agent orchestration that routes tasks to the right models based on cost, speed, and accuracy requirements.
- Lower inference costs
- Faster responses
- Higher accuracy
Knowledge Integration
Connect your existing tools—Notion, Slack, databases—into a unified knowledge layer your agents can query.
- Real-time sync
- Semantic search
- Context preservation
Agent Development
Build specialized agents for your workflows: research, analysis, communication, and data processing.
- Custom workflows
- API integrations
- Full observability
Strategic Advisory
Ongoing guidance on model selection, cost optimization, and scaling your AI operations effectively.
- Quarterly reviews
- Cost audits
- Performance analysis
How We Work
From kickoff to production in 8-12 weeks
A structured process with clear milestones and no surprises.
- 1-2 weeks
Step 1: Discovery
We audit your current tools, data sources, and workflows to identify high-impact automation opportunities.
- 2-3 weeks
Step 2: Architecture
We design the system: which models, how they communicate, where your data flows, and how it all deploys.
- 4-8 weeks
Step 3: Development
We build iteratively with weekly demos. You see progress and provide feedback throughout.
- 1-2 weeks
Step 4: Deployment
We deploy to your infrastructure with monitoring, documentation, and team training. You own the code.
Why Us
Built by engineers who've shipped AI at scale
We've learned what works (and what doesn't) deploying AI systems for production workloads.
- You own the code—no vendor lock-in
- Production-grade from day one
- Weekly progress demos
- Full documentation and training
- Ongoing support options
- Model-agnostic architecture
Get Started
Let's talk about your AI strategy
30-minute call to understand your needs. No sales pitch.