H3 Labs Inc
Maxim AI provides an enterprise-grade evaluation and observability platform for modern AI teams to simulate, evaluate, and monitor AI agents throughout the development lifecycle.
At a Glance
- Enterprise AI Teams
- SaaS Startups
- Financial Services
- Healthcare AI Developers
- +1 more
AI Tools by H3 Labs Inc
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Maxim
AI Evaluation and Observability Platform
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Latest News
Maxim AI Raises $3M to Put GenAI to the Test
Maxim AI Announces General Availability and $3M Seed Round
Maxim AI December 2024 Updates: Introducing Analytics Dashboards
Blog: Post-Training Doesn't Create Your Model's Character
Products & Services
A low-code playground for prompt engineering, versioning, and deployment across multiple models.
Simulation engine to test agents at scale with predefined and custom metrics.
Real-time monitoring, tracing of complex multi-agent workflows, and quality debugging.
A high-performance LLM gateway managing AI traffic across numerous models with fast throughput.
Market Position
Maxim AI positions itself as a comprehensive, developer-first, enterprise-grade platform that unifies experimentation, simulation, and observability, unlike fragmented tools that focus on only one part of the AI lifecycle.
Leadership
Founders
Akshay Deo
Co-Founder & CTO at Maxim AI (H3 Labs Inc). Previously Head of Product Engineering at Postman, Staff Engineer at Slack, and Senior Engineering Manager at Media.net. Co-founded multiple ventures including Sifar Ventures, Twist TV, BetaCraft, and Appsurfer.
Vaibhavi Gangwar
Co-Founder & CEO at Maxim AI. Previously Product Manager at Google and Senior Product Manager at Milaap. Holds experience as a Wireline Field Engineer at Schlumberger.
Executive Team
Vaibhavi Gangwar
Co-Founder & CEO
Former Product Manager at Google and Milaap.
Akshay Deo
Co-Founder & CTO
Former Head of Product Engineering at Postman and Staff Engineer at Slack.
Board of Directors
Founding Story
Founded by Vaibhavi Gangwar and Akshay Deo to address the fragmented and nascent nature of the AI application development stack. The vision was to bring the rigor and best practices of traditional software engineering (testing, CI/CD, monitoring) to the AI agent lifecycle to help teams ship reliable AI products at speed.
Business Model
Revenue Model
B2B Subscription-based (Seat-based and usage-based with tiered pricing).
Pricing Tiers
Up to 3 seats, 1 workspace, 10k logs per month, 3-day data retention.
Unlimited seats, 3 workspaces, 100k logs per month, 7-day data retention, simulation runs, online evals.
Unlimited workspaces, 500k logs per month, 30-day data retention, RBAC, PII management, scheduled runs, custom dashboards.
VPC deployment, custom log limits, custom data retention, custom SSO, SOC 2 compliance, dedicated CSM.
Target Markets
- Enterprise AI Teams
- SaaS Startups
- Financial Services
- Healthcare AI Developers
- Customer Support AI Developers
- Enterprise AI application development
- AI agent quality assurance and simulation
- Continuous monitoring and regression detection for LLMs
- Prompt engineering optimization
- Hallucination reduction in AI agents
- EY
- Bytedance
- Mindtickle
- Babylist