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Cogentiq Data Science
What’s holding data scientists back?
From overload and silos to skill gaps and slow reporting, these everyday challenges hinder the ability to make faster, and smarter decisions.
1
Advanced reasoning engine
Cogentiq Data Science breaks down queries, finds the right tools, and delivers answers.
2
Context optimization and solution
Context optimization streamlines prompts and output to cut tokens, time, and cost.
3
Structured and unstructured querying
It taps into any data, structured or not, to solve complex, multi-part queries.
4
Self-reflection
Cogentiq agents self-correct with built-in reasoning and memory, learning from every step.
5
Long-term memory
Cogentiq agents use past experience to create precise, requirement-led plans with consistency.
6
Capacity scaling
Cogentiq Data Science scales on demand to handle any load and respond to concurrent queries instantly.
7
Multiple models for different agent roles
Supports GPT-4o, Llama 3.1, Mistral, Gemini, Claude, and Codestral, assigning the best model for each agentic role.
8
Streaming responses
Streaming delivers responses in real time, showing results as they're generated, not after they're done.
9
Responsible AI
Cogentiq agents are built to uphold core principles of Responsible AI.
In-media
Our experts
Ajoy Singh
Chief AI Officer
Anindya Sengupta
Client Partner - AI Client Services
