DeepQ AI
DeepQ AI is an agentic platform that enables business teams to solve complex problems with AI—from strategy through solution design to live deployment—in hours rather than months. The platform combines adaptive problem-solving methodology, data science depth, production engineering, and agentic execution, with built-in domain knowledge for banking, financial services, insurance, healthcare, retail, and CPG industries. It records every step in an Inspector for full transparency, allowing users to review, challenge, and redirect the AI's work at any point.
- Artificial Intelligence
- AI Agents
- Enterprise Software
- Software Only
Funding
Founders
Product
Problem
Every organization has more problems than it can solve. The path from problem to deployed solution runs through expensive consultants, scarce talent, and months of effort, so most problems never get attempted. The data science and AI services industry is built on selling time, which optimizes for more time rather than better outcomes.
Solution
DeepQ AI is an agentic platform where companies solve business problems with AI—strategy, solution, and deployment, end to end. Users describe a problem in plain language, and DeepQ AI structures the thinking, builds the solution, and takes it to deployment, with the user in control at every step. The platform embeds consulting-grade problem-solving frameworks, full data science and AI analytical capability, and production engineering that closes the loop from problem to production. Agentic execution runs the work at machine speed, with every step transparent and inspectable through the Inspector. Domain knowledge for banking, financial services, insurance, healthcare, retail, and CPG is already built in, and institutional memory compounds with every problem solved, making the tenth problem faster than the first.
Target Audience
Primary customers are business managers, teams, and enterprises in banking, financial services, insurance, healthcare, retail, and CPG industries who need to solve business problems with AI—from strategy to live solution—without relying on expensive consultants or months of effort.
Features
- Adaptive methodology with consulting-grade problem-solving frameworks that structure how every problem is approached and adapt to the problem in front of it
- Full data science and AI depth from problem framing through validation to solution design and build, not a wrapper on existing tools
- Production engineering capability for deployment, monitoring, and integration into existing systems
- Agentic execution that runs strategy, solution, and deployment end to end, with every step transparent and inspectable
- Built-in domain knowledge for banking, financial services, insurance, healthcare, retail, and CPG industries
- Institutional memory where patterns persist and domain context accumulates across solved problems, compounding with each use
- Inspector feature that records every step, decision, and asset, allowing users to review, challenge, and redirect at any moment
- Integration with cloud infrastructure (AWS, Google Cloud, Microsoft Azure), LLM providers (Anthropic, OpenAI, Google), and upstream systems (Tableau, Power BI, Microsoft Fabric)