AI Agent Development Services
Production-grade multiagent systems that plan, decide, and act.
We design and deploy multiagent systems that plan, decide, and act across your workflows, with the orchestration and governance production demands. From agent architecture to deployment, we build AI systems that work reliably in the real world — not just in demos.
Capabilities
Delivery process
Discovery
Identify use case, define agent boundaries, assess data readiness
Architecture
Design multiagent system, select models, plan orchestration
Prototype
Build MVP agent, test on real data, measure accuracy
Production
Deploy with monitoring, governance, and human-in-the-loop controls
Optimize
Iterate on prompts, retrieval, and orchestration based on production data
Technologies we use
Common questions
How long does it take to build an AI agent?
A production-grade agent typically takes 6-12 weeks from discovery to deployment. Simple prototypes can be ready in 2-3 weeks. The 14-day kickoff means your first sprint starts within two weeks of signing.
How do you ensure agent reliability?
We build observability into every agent from day one — every decision is logged with full reasoning trace. We use human-in-the-loop approval for high-stakes actions, and we deploy gradually with monitoring and rollback capabilities.
Do you work with our existing data?
Yes. We architect AI-ready data platforms that multiagent systems can actually read. This includes data lakes, vector storage, retrieval indexes, and agent-readable governance. Scattered data becomes agentic advantage.
What does it cost?
AI agent projects start at $25K for a prototype and range to $150K+ for production systems. Dedicated AI squads start at $45K/month. Use the cost calculator for a custom estimate.
