Service Every engagement starts here

Catalyst Studio

Our MVP Factory

Fixed-scope, fixed-fee, 4-6 weeks. One problem, two to three systems, a working proof with real metrics — and an honest Go/No-Go recommendation before you commit to anything bigger.

Book a 4-6 Week Sprint

What you sign.

Fixed-scope, fixed-fee

No open-ended engagements. One problem, one price, one timeline.

1 problem, 2-3 systems, 4-6 weeks

Scoped tight enough to prove feasibility, broad enough to be meaningful.

Co-owned by your lead + our architect

Your product/IT lead works directly with our principal engineer. No telephone game.

Go/No-Go at week 4

Working proof, real metrics, honest recommendation. If it won't work, we tell you.

What you get.

Working prototype connected to your actual systems
Architecture document and technical roadmap
Performance benchmarks and accuracy metrics
Go/No-Go recommendation backed by evidence
Production scaling plan with timeline and cost
Full source code, documentation, and handover
// the_sprint

4-6 Week Sprint

01

Ideation

Week 1
  • Stakeholder alignment workshops
  • Business benefits identification
  • Use case prioritization
  • Success criteria definition
02

Tech Stack

Week 2
  • Architecture finalization
  • Model selection & benchmarking
  • Developer environment setup
  • Data pipeline design
03

Rapid Build

Weeks 2-3
  • Accelerated prototyping with our toolkit
  • Integration with your systems
  • Iterative demos with stakeholders
  • Performance optimization
04

Toll Gate

Week 4
  • Go / No-Go decision point
  • Production roadmap if Go
  • Full documentation & handover
  • ROI analysis & scaling plan
// built_with_catalyst

What we've built with it.

These aren't hypothetical capabilities. These are products and deployments that came out of Catalyst Studio sprints.

AI-Assisted SDLC Platform

Product

AI-guided SDLC workflows with structured questionnaires, context threading, organizational learning via DSPy, and compliance audit trails via Langfuse. Started as a Catalyst sprint — now a full product.

LLM Orchestration DSPy Optimization Langfuse Tracing

Enterprise Agents

Product

Multi-agent orchestration across ServiceNow, Salesforce, and Snowflake. Enterprise Intelligence Agent, Support Deflection Agent, Global Mobility Agent — all prototyped in Catalyst sprints, now in production.

Agentic RAG VoltAgent Multi-Agent

AI Scheduling Assistant

Client deployment

Omni-channel voice + chat + SMS scheduling with weather-aware logic. Claude Sonnet 3.5, DSPy optimization, sub-2.5s voice latency. $80-120K annual savings.

Claude 3.5 Voice AI DSPy

Datacenter Thermal Intelligence

Product

Ensemble ML forecasting for data center thermal management. 5 algorithms fused into one prediction engine. Built on real exascale supercomputer data. 95% accuracy, $2-5M annual savings.

Ensemble ML Vision (YOLO) Digital Twin

Every capability we claim is backed by something we actually built and shipped.

// technology

Technology Stack

PythonPyTorchTensorFlowLangChainDSPyMLflowOpenAIClaudeAWS BedrockMistralAgent SquadKubernetesDockerAWSAzureGCPTypeScriptReactFastAPI

4-6 weeks. Zero guesswork.
Prove it before you scale it.

Tell us your AI challenge. We'll tell you if it's solvable — and prove it.

Book a 4-6 Week Sprint