Reflection

Reflection AI builds frontier reasoning models for enterprise code intelligence.
Series B $2.13B total Founded 2024 New York, New York 69 employees
Reflection AI is building frontier AI models and reasoning systems designed to act as an intelligent middle layer between developers and fully autonomous systems. The company positions itself as both an open-source alternative to closed frontier labs like OpenAI and Anthropic, and a Western equivalent to Chinese AI firms like DeepSeek. Their self-hosted AI agents can reason about code, synthesize features, refactor, debug, and maintain systems while dynamically referencing files and discussions with line-level citations. Enterprise customers deploy Reflection's systems within their own cloud environments (AWS, Azure, GCP) with full privacy and IAM compliance.
Problem solved
Engineering teams lack AI reasoning systems that can maintain context across codebases, integrate with existing workflows, and operate within private cloud environments with full security and compliance controls.
Target customer
Large enterprises, governments building sovereign AI systems, and research institutions requiring private, on-premise AI capabilities for code and system reasoning.
Founders
M
Misha Laskin
CEO & Co-Founder
Trained in theoretical physics at Yale and Chicago; AI scientist who led reward modeling for Google DeepMind's Gemini project under Pieter Abbeel at UC Berkeley; previously founded an inventory prediction startup.
I
Ioannis Antonoglou
CTO & Co-Founder
One of the core architects of AlphaGo at DeepMind; joined DeepMind as a founding engineer in 2012 alongside Shane Legg and Demis Hassabis; spent over a decade at DeepMind.
Funding history
Seed $25M March 2024 Led by Sequoia Capital · CRV, SV Angel
Series A $105M March 7, 2025 Led by Lightspeed Venture Partners, CRV · Reid Hoffman, Alexandr Wang (Scale AI), SV Angel, Nvidia Corp, others
Series B $2B October 9, 2025 Led by Nvidia ($500M) · 1789 Capital ($100M), DST Global ($100M), Disruptive, B Capital, GIC, Sequoia, CRV, Eric Yuan, Eric Schmidt, Citi, others
Total raised: $2.13B
Pricing
Not publicly available. Researchers will access models freely; revenue will come from large enterprises building products on Reflection's models and governments developing sovereign AI systems.
Notable customers
Not disclosed; company is pre-launch for main products.
Integrations
AWS, Azure, Google Cloud Platform (self-hosted deployment)
Tech stack
Italian nginx Express SPF jQuery Really Simple Discovery Font Awesome RSS Sydney Theme Live Writer Support Google Font API Apache WordPress Google Maps Wordpress 4.9 Pingback Support Viewport Meta SiteOrigin Panels Apple Mobile Web Clips Icon Wordpress Plugins YouTube Parallels SSL Google Apps for Business PHP IPhone / Mobile Compatible EuroDNS DNS Contact Form 7 WordPress 5.2 Global Site Tag Google Analytics SSL by Default Cookiebot Yoast Plugins Yoast SEO Premium Yoast WordPress SEO Plugin Google Webmaster Sitelinks Search Box Responsive Lightbox SiteOrigin jQuery prettyPhoto Infinite Scroll WooCommerce touchSwipe Swipe JS Google Universal Analytics jQuery Waypoints imagesLoaded FitVids.JS OWL Carousel Isotope jQuery Masonry GStatic Google Static Content Google Tag Manager Fizzy UI Utils Twemoji GoGetSSL CloudFront Airtable Cloudflare Cloudflare SSL Cloudflare Hosting IPv6 Cloudflare DNS Cloudflare Network Error Logging Cloudflare CDN AggregateRating Schema LocalBusiness Schema PostalAddress Schema Ruby on Rails Token Undeveloped Google Analytics IP Anonymization German HREF LANG English HREF LANG Spanish HREF LANG French HREF LANG Hindi HREF LANG Dutch HREF LANG Chinese HREF LANG Organization Schema React on Rails DAN Trustpilot OpenResty LetsEncrypt Amazon Amazon Frankfurt Region Content Delivery Network Do Not Sell Sentry Webpack React core-js US Privacy User Signal Mechanism DoubleClick.Net Amazon S3 CDN Next.js HSTS Vercel GoDaddy DNS Intersection Observer U.S. Server Location CrUX Dataset CrUX Top 50m Artificial Intelligence Rippling jQuery CDN CommonCrawl Top 50m LinkedIn X WP Engine jQuery 3.6.0 Global Privacy Control Usercentrics DMARC DMARC None Nuxt.js Microsoft Clarity Google Analytics 4 Sanity JavaScript Modules Netlify CrUX Top 5m AWS Global Accelerator OpenAI Careers Vue Typeform Netlify Edge Person Schema Gravatar Profiles CrUX Top 10m KaTeX
Website
Competitors
OpenAI
OpenAI focuses on closed, proprietary frontier models; Reflection positions itself as open-source alternative with private on-premise deployment.
Anthropic
Anthropic develops Claude as a closed commercial product; Reflection aims to provide open-source models and sovereign AI capabilities.
Mistral AI
Mistral focuses on open LLM base models; Reflection targets enterprise code reasoning agents with private deployment.
DeepSeek
Chinese open-source AI models; Reflection positions itself as Western equivalent with sovereign AI focus for enterprises.
Why this matters: Reflection AI has raised $2.13B at an $8B valuation (with $25B on the horizon) backed by Nvidia, Sequoia, and DST Global, representing one of the largest AI infrastructure bets. The founders—core architects of AlphaGo and Gemini from DeepMind and Google—are building what could become a credible open-source, privacy-first alternative to OpenAI and Anthropic for enterprise and sovereign AI use cases.
Best for: Enterprise engineering organizations and governments requiring private, reasoning-capable AI agents that integrate with existing cloud infrastructure and comply with data sovereignty requirements.
Use cases
Codebase Understanding and Documentation
Engineers ask natural language questions about authentication flows, system architecture, or implementation patterns, and receive detailed prose answers with line-level citations to specific source files and commits. The system learns from corrections and refines answers over time.
Code Refactoring and Feature Synthesis
Reflection AI agents can reason about existing code patterns and automatically refactor components or synthesize new features while maintaining consistency with the codebase. All work happens within the customer's private cloud environment.
Sovereign AI Development
Governments and large enterprises can build nation-controlled or organization-specific AI systems using Reflection's models, avoiding reliance on U.S.-based closed providers like OpenAI or Anthropic.
Alternatives
OpenAI Closed, proprietary API-based model; data may be processed by OpenAI; less control for sovereign or privacy-critical use cases.
Anthropic Claude Proprietary commercial model optimized for conversation; no private on-premise deployment option; focused on general intelligence rather than code-specific reasoning agents.
Mistral AI Open-source base models but less focus on agentic reasoning for code; limited enterprise agent capabilities compared to Reflection's specialized offerings.
FAQ
What does Reflection AI do? +
Reflection AI builds frontier reasoning models and intelligent agents designed to understand, refactor, debug, and maintain code and systems. The platform operates as a self-hosted appliance within customers' cloud environments (AWS, Azure, GCP), enabling private, secure AI reasoning with full compliance to existing identity and access management policies. The company is expanding from code-focused agents into a broader open-source alternative to closed frontier labs like OpenAI and Anthropic.
How much does Reflection AI cost? +
Pricing is not publicly available. Reflection plans to offer free access for researchers while generating revenue from large enterprises building products on their models and governments developing sovereign AI systems. Contact sales for enterprise pricing.
What are alternatives to Reflection AI? +
OpenAI (proprietary API-based models with limited privacy controls), Anthropic Claude (closed commercial model without private deployment), and Mistral AI (open-source base models with less agentic reasoning focus for code).
Who uses Reflection AI? +
Target customers include large enterprises, governments building sovereign AI systems, and research institutions requiring private, on-premise AI capabilities. No specific customer names have been publicly disclosed; the company is still in pre-launch for main products.
How does Reflection AI compare to OpenAI? +
OpenAI provides closed, proprietary frontier models via API with processing potentially outside customer control. Reflection positions itself as an open-source alternative with private on-premise deployment, full compliance with customer IAM policies, and sovereignty over AI systems. Reflection is building models specifically optimized for code reasoning and agentic automation rather than general intelligence.
Tags
frontier AI models code reasoning agents AI infrastructure sovereign AI open-source AI private deployment enterprise AI agentic automation