Pi-Evolve - An agentic engine for autonomous machine learning and discovery
Graph-structured search over solution trajectories, unifying reasoning, code, and validation through iterative improvement.
Graph-structured search over solution trajectories, unifying reasoning, code, and validation through iterative improvement.
NP-hard optimization drains enterprise value
NP-hard optimization drains enterprise value
1
Across industries, optimization problems explode exponentially with scale
1
Across industries, optimization problems explode exponentially with scale
1
Across industries, optimization problems explode exponentially with scale
2
Common challenges: vehicle routing, bin packing, portfolio optimization, ML research
2
Common challenges: vehicle routing, bin packing, portfolio optimization, ML research
2
Common challenges: vehicle routing, bin packing, portfolio optimization, ML research
3
Traditional algorithms fail to solve these problems within practical time limits
3
Traditional algorithms fail to solve these problems within practical time limits
3
Traditional algorithms fail to solve these problems within practical time limits
Results
Results
1
Delayed decisions
2
Suboptimal outcomes
3
Millions in lost value
Structured intelligence for hard optimization
Structured intelligence for hard optimization
Pi-Evolve brings structure and accountability to autonomous search, enabling systems to learn faster, improve reliably, and scale across complex problem spaces.
Pi-Evolve brings structure and accountability to autonomous search, enabling systems to learn faster, improve reliably, and scale across complex problem spaces.
1
Traceable solution evolution
Builds a directed acyclic graph (DAG) of solution chains to track lineage, enabling precise credit assignment and faster convergence on high-value solutions.
2
Adaptive agent orchestration
Dynamically coordinates specialized LLM agents using probabilistic action selection, balancing exploration and exploitation through adaptive priority scoring.
Research paper
Research paper
Follow for the latest updates
Follow for the latest updates
Transform your enterprise with AI that delivers
Transform your enterprise with AI that delivers
Recognition and achievements
Select Fractal accolades
Named leader
Customer analytics service provider Q2 2025
Representative vendor
Customer analytics service provider Q1 2021
Great Place to Work
8th year running. Certifications received for India, USA, Canada, Australia, and the UK.
Recognition and achievements
Select Fractal accolades
Named leader
Customer analytics service provider Q2 2025
Representative vendor
Customer analytics service provider Q1 2021
Great Place to Work
8th year running. Certifications received for India, USA, Canada, Australia, and the UK.
Recognition and achievements
Select Fractal accolades
Named leader
Customer analytics service provider Q2 2025
Representative vendor
Customer analytics service provider Q1 2021
Great Place to Work
8th year running. Certifications received for India, USA, Canada, Australia, and the UK.
Registered Office:
Level 7, Commerz II, International Business Park, Oberoi Garden City,Off. W. E.Highway, Goregaon (E), Mumbai City, Mumbai, Maharashtra, India, 400063
Phone: +91 22 6850 5800
Email: investorrelations@fractal.ai
CIN : U72400MH2000PLC125369
GST Number (Maharashtra) : 27AAACF4502D1Z8
Registered Office:
Level 7, Commerz II, International Business Park, Oberoi Garden City,Off. W. E.Highway, Goregaon (E), Mumbai City, Mumbai, Maharashtra, India, 400063
Phone: +91 22 6850 5800
Email: investorrelations@fractal.ai
CIN : U72400MH2000PLC125369
GST Number (Maharashtra) : 27AAACF4502D1Z8
Registered Office:
Level 7, Commerz II, International Business Park, Oberoi Garden City,Off. W. E.Highway, Goregaon (E), Mumbai City, Mumbai, Maharashtra, India, 400063
Phone: +91 22 6850 5800
Email: investorrelations@fractal.ai
CIN : U72400MH2000PLC125369
GST Number (Maharashtra) : 27AAACF4502D1Z8
