We remove the uncertainty.
Use us when:
- ✓ The workflow touches messy, real-world data.
- ✓ Failure would cost significant political capital.
- ✓ Internal teams are gridlocked by backlog.
01. Feasibility
Can today's AI actually handle your specific nuances? We test it with real data.
Scope: LLM Orchestration, Multi-Agent Systems, RAG Pipelines, & Structured
Extraction.
02. Economics
We benchmark Build vs. Buy, quantifying error correction costs, human-in-the-loop load, and technical debt—not just API fees.
03. Decision
Should you build this now? We give you a firm Go/No-Go recommendation based on empirical evidence.
Tangible Impact.
Weeks to Minutes
Shortened complex data analytics cycles from weeks to minutes using real-world data, enabling true data-driven decision making.
Prototypes that Scale
Built live WhatsApp & voice bots with memory in hours to validate ideas, saving significant dev time and preventing "endless pilots."
Multi-Agent Deferral
Advised against multi-agent deployment due to low accuracy and error propagation. Saved capital by deferring until models mature.
Common Questions
What is my time commitment?
Very low. We need about 2 hours total for the initial intake and workflow walkthrough. We handle the rest.
Who owns the IP?
You do. We provide the prototype code, findings, and documentation. You are free to build internally or with us.
Is my data safe?
Absolutely. We sign standard NDAs, never train models on your data, and delete all inputs after the sprint concludes.
What if it's not automatable?
That's a valuable result. We tell you "No" so you don't waste $50k building it. And with our guarantee, you don't pay if we can't conclude.