What is the PoC-to-production gap in AI?

95% of AI PoCs stall before reaching production, wasting time and resources. This gap between proof-of-concept and working production systems is the critical challenge Nuxi solves with guaranteed production-ready AI.

What industries does Nuxi serve?

Nuxi serves industries including supply chain optimization, customer service, SaaS companies, and enterprise compliance. Our autonomous AI agents deliver measurable impact across diverse sectors.

What is your production guarantee?

We guarantee successful AI integration into production with measurable ROI against agreed-upon metrics. If our AI doesn't reach production, we work until it does.

How fast can Nuxi deploy AI?

Nuxi deploys AI 3x faster than traditional methods. Our proven process takes companies from failed PoC to full production typically within weeks, not months.

NUXI

Custom AI agent development

We build agents tailored to your workflows - not generic assistants that break

What is custom AI agent development?

Custom AI agent development means we build an AI agent specifically for your processes, your data, and your goals. Unlike off-the-shelf AI tools that try to be everything to everyone, custom agents are trained on your context and optimized for your specific use case.

This includes: - Process mapping and workflow documentation - Custom training data generation from your data - Error analysis and iterative optimization - Integration with your existing systems - Ongoing agent operations and improvement

Our development process

Discovery & Process Mapping

We interview your team and document current workflows. What decisions are made? What data is available? What are the edge cases? This becomes the foundation for agent design.

Agent Design & Architecture

We design the agent's behavior, decision logic, and integration points. We decide what ML approach fits best - DSPy, GEPA, RL, or combinations.

Build & Train

We build the agent and train it on your data. This includes generating training datasets, running error analysis, and optimizing performance.

Deploy & Iterate

Agent goes live with human oversight. We monitor performance, fix errors, and continuously improve. Agents typically reach full autonomy within 4-8 weeks.

Pricing

Custom agent development starts at $5K per agent. Final cost depends on complexity, data requirements, and integration needs.

What affects pricing?

Process complexity - How many decisions and branches?
Data requirements - How much training data is needed?
Integration depth - What systems does the agent connect to?
Optimization approach - DSPy, RL, or hybrid?

Optional: Agent operations & optimization from $1K/month

Typical timeline

Most agents go from discovery to production in 4-12 weeks, depending on complexity.

Weeks 1-2: Discovery & design

Weeks 3-6: Build & initial training

Weeks 7-8: Testing & deployment

Ongoing: Monitoring & optimization

Ready to build a custom agent?

Tell us about your workflow. We'll map your process and give you a detailed proposal with timeline and pricing.