Companies

Brain Co.

brain.co

Brain Co. builds secure, agent-native operating systems and AI applications for large regulated institutions.

HQSan Francisco, California, United States
Employees11-50
Funding$292M
33 active roles
Profile 6mo agoJobs checked 16h ago
AI / MLAI ApplicationB2B SaaSSeries A$10M-$50M

About

Brain Co. builds agent-native operating systems and purpose-built AI applications for large, complex institutions across government, healthcare, insurance, finance, and enterprise markets. Its differentiation is fitting systems to customers’ existing data and workflows, deploying them in weeks, using sovereign-grade security and no model lock-in, while automatically incorporating advances in underlying AI capabilities.

Market

Brain Co. competes in applied enterprise and government AI, particularly agentic workflow automation and AI-native operating systems for complex, regulated institutions. It positions itself above generic foundation-model access by combining agents, institution-specific data and workflows, and purpose-built applications that can be deployed rapidly. Its differentiation is Atlas's sovereign-grade security and model-agnostic design, together with domain-specific operating systems and auditable automation rather than a horizontal chatbot, standalone model platform, or conventional consulting engagement.

Target Customers

Brain Co. targets large, regulated institutions and Global 2000 enterprises, especially governments, healthcare systems, insurance and financial-services organizations, energy companies, and other critical industries. The likely buyers are government-technology leaders and enterprise CIO, operations, and digital-transformation executives responsible for modernizing complex operational workflows.

At a Glance

Problem

Modern institutions—including governments, healthcare systems, and critical industries—face high-friction, high-cost operational workflows that are difficult to automate reliably with conventional software. Brain Co. targets problems where delays, administrative overhead, supply-chain inefficiency, and poor execution have material economic and human consequences. Its clearest killer use case is institutional workflow automation: the company cites construction permitting that became 80% faster and unlocked more than $375 million in value, alongside energy supply-chain optimization that reduced costs by 30%, achieved 99% reliability, and avoided more than $100 million in losses.

Product / Service

Brain Co. provides an AI platform and applications organized around what it calls “agent-native operating systems” for modern institutions. Its delivery model appears to be partnership-led and applied: it works with large enterprises and governments to deploy state-of-the-art models and build secure applications tailored to real-world institutional problems, rather than selling only a general-purpose AI interface. The intended benefit is measurable automation and operational improvement, including less administrative work, faster processes, lower costs, greater reliability, and better outcomes; the company cites 80% less hospital administrative work and 40% better patient outcomes in one example.

Market

Brain Co. competes in the broad business and productivity software market, with adjacent categories including automation and workflow software, application software, vertical SaaS, and artificial intelligence and machine learning. The available materials do not name specific competitors, so the most defensible comparison is to enterprise AI application and workflow-automation providers serving regulated or strategically important institutions. Its positioning is differentiated by the combination of institution-specific applications, agent-oriented infrastructure, and government and critical-industry deployments.

The company is private and appears to be an early-stage venture-backed startup. Its public launch announcement disclosed a $30 million Series A, and its recruiting materials report deployments or results across sovereign-government permitting, global-energy supply chains, and national health systems. The available PitchBook evidence does not provide a current revenue figure, so Brain Co. should not be labeled definitively pre-revenue; publicly documented traction is presently stronger on reported customer-impact metrics and financing than on disclosed revenue.

Founders & Leadership

Jared KushnerFounder
Co-founder
Elad GilFounder
Co-founder
Luis VidegarayFounder
Board Member (co-founder)
Eric WuFounder
Co-founder and Chairman
Dan AshtonFounder
CEO and Co-founder
Mircea PasoiFounder
Co-founder and Head of Engineering
Revant KapoorFounder
Co-founder

Funding History

2025-09
Series A$30M

Gil Capital, Affinity Partners

Recent News

2026-07-07product
Your Agent Isn't Dumb. It's Just Lost.

Brain Co. describes a context-management approach using a per-window table of contents in the MCP tool layer and an Auto Atlas for long-term context, helping agents find relevant information more efficiently.

2026-05-27product
sessiongrep: A Local-First Memory Layer for CLI Agents

Brain Co. introduces sessiongrep, which uses SQLite and FTS5 to make raw Claude Code and Codex CLI transcripts searchable by people and AI agents.

2026-05-14
Deployed at Brain Co.

Brain Co. profiles two deployed engineers and their day-to-day work innovating AI products at the company.

2026-03-20
An AI Blitz: Highlights from Brain Co.'s Hackathon 2026

Brain Co. highlights projects developed during its company-wide AI hackathon.

2026-03-12partnership
Introducing Brain Co.

Brain Co. announced its public launch and $30 million Series A, alongside partnerships with more than 10 Global 2000 customers and a strategic partnership with OpenAI. The company said it was applying AI across government, healthcare, energy, hospitality, and other sectors.

2026-02-11product
Confidence Scoring with Bayesian Networks

Brain Co. describes a Bayesian Network approach to confidence scoring that enables full automation of building-permit approval workflows.

2025-12-19product
LLM-Generated Rules Engines: Executable IF-THEN Logic for LLM Explainability in Regulated Industries

Brain Co. presents a rules-engine technique intended to make LLM decision-making auditable when processing unstructured documents.

2025-12-18product
When Deterministic Pipelines Outperform Agentic Wandering

Brain Co. reports that an engineered context-distillation workflow consistently outperformed the latest agent in its evaluation.

2025-09-11funding
Brain Co. launches from stealth with $30 million Series A

Brain Co. announced that it had emerged from stealth and closed a $30 million Series A. The company said it had partnered with 10 Global 2000 customers, including a strategic relationship with OpenAI.

Active Roles

33
San Francisco Bay Area/Product/3d ago
San Francisco Bay Area/Professional Services/6d ago
Remote/Legal/21d ago
San Francisco Bay Area/Engineering/30d ago
London/Engineering/43d ago
San Francisco Bay Area/Operations/66d ago
San Francisco Bay Area/Professional Services/66d ago
San Francisco Bay Area/Engineering/78d ago
Remote/Sales Engineer/79d ago
New York City, NY/Engineering/83d ago
San Francisco Bay Area/Operations/99d ago
San Francisco Bay Area/Legal/104d ago
Abu Dhabi/Engineering/107d ago
San Francisco Bay Area/Engineering/119d ago
San Francisco Bay Area/Engineering/119d ago
San Francisco Bay Area/Engineering/122d ago

Business Model

Brain Co. appears to use an enterprise B2B model, partnering with large institutions to design, deploy, and operate tailored AI operating systems and applications. Public materials confirm Global 2000 partnerships and customer deployments, but do not disclose specific pricing or contract structures.

Products

AtlasGovOS for permitting, licensing, and procurement workflowsHealthOS for healthcare operations, patient-care paths, authorization, and complianceFinanceOS for reporting, reconciliation, and compliance workflowsInsurance workflow applications covering underwriting, claims, authorization, denials, and intakeCustom, pre-built industry applications deployed by Brain Co. engineers

Customers

OpenAI (publicly described as a strategic relationship)

Tech Stack

AI agents and agent-native operating-system architectureFoundation models/LLMs and proprietary in-house modelsAtlas proprietary, model-agnostic platformKubernetesTerraformHigh-performance inference and data pipelinesBayesian Networks for confidence scoringModel Context Protocol (MCP) tool layer

Competitors

Palantir
Microsoft Copilot Studio
Salesforce Agentforce
Databricks
Accenture

Key Investors

Affinity Partners, IDG Capital, Walden International