Brainbase Labs, Inc.
Brainbase Labs is an applied AI research lab and AI agent cloud that enables companies to put AI into the workforce. Its platform hosts, deploys, orchestrates, evaluates, monitors and improves production agents across models, harnesses, tools and workflows.
At a Glance
- Businesses and enterprises running production AI agents
- Government agencies
- SMBs and fast-growing companies
- Engineering, product, support and operations teams
- +2 more
AI Tools by Brainbase Labs, Inc.
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Brainbase
Managed Cloud for AI Agents
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Latest News
Event recap: Startup Speedrun Hackathon; 29 projects submitted and five top projects highlighted
Panel recap: How to build for agents that act in the real world?
Case study: Automating Domino's local competitor-pricing research
Introducing the Universal Managed Agents API
Products & Services
Managed cloud for deploying, hosting, orchestrating, routing, evaluating, observing and scaling production agents across frontier and open-source models and multiple harnesses.
A common API and request/response shape for creating, running and streaming agents and orchestrations across models and harnesses, with registry, managed authentication and sandbox support.
Enterprise platform for creating highly specialized AI employees/workers for business workflows, announced as leveraging AWS and Amazon Bedrock.
Brainbase's in-house agent harness for orchestration, evaluations and production agents.
Market Position
Brainbase positions itself as an AI agent cloud and universal control plane rather than a single-model chatbot or narrow workflow automation tool. It differentiates through model/harness neutrality, a managed runtime and sandbox layer, orchestration, evaluation-before-shipping, observability, registry/versioning and enterprise deployment controls. The company contrasts its internal-agent focus with specialist external-agent companies such as Harvey and Legora; adjacent competitors include Retool, LangChain/LangSmith, Vellum, Humanloop, Braintrust, Modal and other agent-runtime/evaluation platforms.
Leadership
Founders
Gokhan Egri
Founder and CEO. He previously co-founded and served as CEO of Leo, an AI grader, and was a Harvard computer-science/machine-learning PhD student before dropping out to build Brainbase. Before that he built more than 15 apps with over 50,000 downloads.
Executive Team
Gokhan Egri
Founder and CEO
Previously co-founder and CEO of Leo, an AI grader; former Harvard CS/machine-learning PhD student who left the program to build Brainbase.
Founding Story
Gokhan Egri left his Harvard machine-learning PhD and joined Y Combinator to build Brainbase after seeing repetitive business workflows as a large opportunity for automation. The initial vision was to let companies create customized, always-on AI workers for complex enterprise workflows rather than rely on generic, unreliable automation tools; Brainbase later evolved from an AI-workforce product into an AI agent cloud for production deployment and orchestration.
Business Model
Revenue Model
Paid SaaS/platform subscriptions for managed agent hosting, scaling, API access, orchestration, evaluations, observability and support, with enterprise custom pricing and options such as volume pricing, hybrid/on-prem deployment and embedded engineering. Usage is funded through platform credits.
Pricing Tiers
$25 in free credits; unlimited deployed agents; 7-day data retention; versioning, observability and community support.
$500 in included credits; unlimited deployed agents; 30-day data retention; orchestration, evaluations and priority support.
Custom credits and retention; SSO, RBAC, hybrid deployment and dedicated support.
Target Markets
- Businesses and enterprises running production AI agents
- Government agencies
- SMBs and fast-growing companies
- Engineering, product, support and operations teams
- Teams migrating from an existing agent harness
- Organizations requiring hybrid, on-premises or security-reviewed deployment
- Internal engineering and product workflows
- Customer support and operations triage
- Sales, HR and customer-support AI workers
- Document and internal-data analysis
- Multi-step business-process automation
- Tool-based workflows and internal systems
- Toyota
- NBC
- Domino's
- fal