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Fractal Data Science


1
Advanced reasoning engine
Fractal 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
Fractal data-science agents self-correct with built-in reasoning and memory, learning from every step.
5
Long-term memory
Fractal data-science agents use past experience to create precise, requirement-led plans with consistency.
6
Capacity scaling
Fractal 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
Fractal data-science agents are built to uphold core principles of Responsible AI.
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Our experts

Anindya Sengupta
Client Partner - AI Client Services












