Applied AI Research Lab
AI research and tools for production systems
AI systems behave differently in production than in development. We build benchmarks, inference tools, and open research to close the gap.
Our Philosophy
The transition from AI research to production surfaces problems that don't appear in benchmarks
System drift, unpredictable costs, and legacy infrastructure resistance are the real challenges of production AI. Our approach combines applied research with open-source publishing to build the economics layer for AI inference.
10+
Benchmarks
Covering automotive, legacy code, travel, finance, healthcare, and more
50+
AI Orgs Sponsored
Research sponsored by 50+ AI organizations including Matter Sec and Kloudle
Open
Source
All research published openly. Community-driven benchmarks and tools
Products
Tools
Static analysis, weight optimization, and inference tooling for production AI systems.
PeakInfer
Static Analysis for AI
Find configuration drift, cost issues, and performance problems before they reach production.
PeakWeights
Weight Optimization
Weight optimization library for efficient model deployment. Research-backed techniques for production inference.
Evaluations
Featured Benchmarks
Domain-specific evaluations for autonomous agents, built to measure what matters in production.
LegacyCodeBench
Legacy CodeEvaluating how well AI systems understand and modernize legacy code.
AutoBench
AutomotiveAutonomous agent evaluation across automotive scenarios.
TravelBench
TravelMeasuring agent capabilities in travel planning and operations.
Industry Imperative
Strategic Autonomy in Intelligence
The enterprises that own their data, context, and intelligence will define the next era of AI.
Own Your Data
Every mile driven, every component designed is a proprietary asset. No vendor can replicate it. Stop feeding your competitive edge into someone else's model.
Own Your Context
Vehicle behavior, driver patterns, fleet telemetry, design intelligence — your context is your product. External APIs see none of it. You do.
Own Your Intelligence
When AI is the product, intelligence is your roadmap and your future. Own the harness, control the benchmarks, own the intelligence.
How Benchmarks Help
Data-Driven Decisions
Benchmarks drive measurable, data-driven decisions for AI deployment across your organization.
Industry Validation
Validate AI capabilities against domain-specific, real-world production scenarios.
Strategic Proof
Provide strategic proof that your AI investment delivers measurable business outcomes.
In Development
Coming Soon
Expanding coverage across industries. New domain benchmarks for finance, healthcare, retail, wholesale, and transport.
WealthBench
FinanceAgent evaluation for wealth management and financial advisory.
KiranaBench
KiranaBenchmarking agents for small-format retail and kirana store operations.
WholesaleBench
WholesaleEvaluating agents across wholesale distribution and supply chain workflows.
HospitalBench
HealthcareAgent evaluation for hospital operations and clinical decision support.
ClinicBench
ClinicBenchmarking agents for outpatient clinic workflows and patient management.
RetailOutletBench
RetailEvaluating agents for retail outlet management and customer operations.
TransportOperatorBench
TransportAgent evaluation for transport and logistics operator workflows.
Peak Inference
Infra Economics of AI Inference
Everything we learned about inference at scale. From cost modeling and optimization strategies to production deployment patterns — a comprehensive guide to the economics of running AI in production.
Learn MoreUpdates
Latest
PeakInfer Launched
Static analysis for AI applications. Find configuration drift, cost issues, and performance problems before they reach production.
LegacyCodeBench Published
A benchmark for evaluating how well AI systems understand and modernize legacy code across COBOL, Fortran, and enterprise Java.
PeakWeights Research
Weight optimization techniques for efficient model deployment, bridging the gap between research and production.
Let's Build Together
Help shape the future of production AI
We publish research openly, build tools for the community, and collaborate with organizations solving real production AI challenges.