We build AI systems
that work together.
From intent detection to real-world actions — across web, WhatsApp, and internal tools.
Trusted by operators who demand systems, not magic.
The problems we solve
Most AI implementations fail at the edges. We fix that.
AI chatbots that hallucinate
LLMs make things up. No structured output. No guarantee they'll do what you need.
Disconnected tools and workflows
Chatbot lives in a silo. Data lives elsewhere. Nothing talks to anything.
Manual follow-ups and inefficiencies
Automation stops at the chat window. Humans pick up the rest. Every. Single. Time.
No visibility or control
Can't see what the AI is doing. Can't debug it. Can't improve it. Just hope it works.
Fragile automations that break silently
One API change. One edge case. Everything fails. You find out when a customer complains.
Our approach
Engineering-first AI. Built for reliability, not demos.
Deterministic logic + LLMs
We use LLMs for understanding, not execution. Business logic stays predictable and testable.
Intent-first systems
Classify what the user wants. Route to the right workflow. Execute with precision.
Context via RAG
Connect to your data. Retrieve what matters. Give the AI context without retraining.
Human-in-the-loop escalation
When confidence is low, escalate. Never fake certainty. Always know when to hand off.
Observability and control
Every decision logged. Every action tracked. Full visibility into what your AI is doing.
What we build
Productized services. Fixed scope. Clear outcomes.
Intelligent assistants that understand intent, maintain context, and execute actions across your platforms.
Connect AI to your existing tools. Automate multi-step workflows that require decisions, not just triggers.
Unified layer for managing multiple AI agents, routing decisions, and maintaining system-wide observability.
Embed AI into your stack. Set up vector databases, RAG pipelines, and monitoring infrastructure.
Monitor performance, refine prompts, update workflows, and ensure your AI keeps getting better.
How it works
A systematic process. No chaos. No surprises.
Discovery & audit
1-2 weeksWe map your workflows, identify automation opportunities, and define success metrics. No guesswork.
System design
1 weekArchitecture diagrams. Intent taxonomies. Data flows. We document everything before writing code.
Implementation
3-6 weeksBuild the system. Integrate with your stack. Test edge cases. Iterate until it works reliably.
Deployment
1 weekStaged rollout. Monitoring in place. Runbooks ready. Hand off or stay involved — your call.
Monitoring & iteration
OngoingTrack performance. Refine prompts. Fix edge cases. Systems improve over time, not degrade.
Pricing
Transparent pricing. No hidden costs. No sales pressure.
- Intent classification system
- RAG integration (1 data source)
- WhatsApp or web integration
- Basic monitoring & logging
- 2 revision cycles
- Handoff documentation
- Multi-agent orchestration
- Custom infrastructure
- Ongoing optimization
- Everything in Foundation
- Multi-agent orchestration layer
- RAG integration (unlimited sources)
- Web + WhatsApp + internal tools
- Advanced monitoring & alerts
- Human-in-the-loop workflows
- Unlimited revision cycles
- 4 hours/week optimization
- 24/7 support
- SLA guarantees
- Everything in Production
- Custom infrastructure setup
- Dedicated engineering support
- Priority response times
- Weekly optimization sessions
- Custom SLAs
- Multi-system integration
All prices in USD. Monthly retainer covers maintenance, monitoring, and optimization. Custom arrangements available for larger scopes.
Get started
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