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
39 active roles
Profile 8mo agoJobs checked 3d ago
Specialization
Not classified
Business
Software Applications
Market
Cross Industry
Ecosystem
Applications
Customers
Enterprisesand 1 more customers values
  • Governments
More details
Organization type
Commercial Company
Ecosystem
Applications
Business
Software Applications
Specialization
Not classified
Market
Cross Industry
Customers
Enterprises, Governments
Delivery models
Professional Services
Revenue models
Not classified
Listing status
Not classified
Latest equity round
Series A
Reported funding amount
$200M-$1B

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

2026-10-01customer_win
Knighthead Life selects Brain Co. for annuity operations

On October 1, Knighthead Life selected Brain Co. to build the AI intelligence layer for its annuity operations, beginning with new business transfers and in-force servicing. The initial workflows include intake, validation, document assembly, servicing requests, and policy administration.

2026-05-14other
Deployed at Brain Co.

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

2025-12-19product_launch
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.

2025-09-11funding
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

39
Hybrid - San Francisco Bay Area; New York City, NY; Remote/Engineering/4d ago
Hybrid - San Francisco Bay Area/Engineering/5d ago
Hybrid - San Francisco Bay Area/Engineering/5d ago
Hybrid - San Francisco Bay Area/Engineering/5d ago
Hybrid - San Francisco Bay Area/Engineering/5d ago
New York City, NY/Engineering/18d ago
New York City, NY/Engineering/18d ago
Remote - Remote/Professional Services/24d ago
Hybrid - San Francisco Bay Area/Engineering/27d ago
Hybrid - San Francisco Bay Area/Design/30d ago
Hybrid - San Francisco Bay Area/Technical Account Manager/39d ago
Hybrid - San Francisco Bay Area/Product/48d ago
Hybrid - San Francisco Bay Area/Professional Services/51d ago
Hybrid - San Francisco Bay Area/Engineering/75d ago
Hybrid - London/Forward-Deployed Engineer/88d ago
Hybrid - London/Engineering/88d ago
Hybrid - Abu Dhabi/Engineering/108d ago
Hybrid - San Francisco Bay Area/Marketing/111d ago
Hybrid - San Francisco Bay Area; Remote/Implementation Engineer/111d 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