B2B SaaS Provider
Cognition vs Magic
Structured technology and market comparison · 2026
Direct Feature Comparison
Cognition · vs · MagicAutonomous AI software engineering platform for enterprise teams.
Frontier code-model developer for autonomous software engineering and research.
Analyze all overlapping signals and tech stacks for Cognition and Magic
Compare mutual enterprise clients, monetization models, live market signals, and partner networks directly in the interactive Knowledge Graph.
Comparison Analysis
What is the main difference between Cognition and Magic?
When comparing Cognition and Magic, both platforms operate within the Large Language Models (LLM) & AI and B2B SaaS Provider ecosystem. Cognition is positioned as Autonomous AI software engineering platform for enterprise teams, whereas Magic focuses on Frontier code-model developer for autonomous software engineering and research. Decision-makers evaluate both solutions when orchestrating their commercial monetization and technology stack.
What are the top alternatives to Cognition and Magic?
When evaluating Cognition and Magic, enterprise buyers also consider other platforms in Large Language Models (LLM) & AI and B2B SaaS Provider. You can discover the full competitive landscape and evaluate other alternatives by viewing their respective footprint profiles on Polaris7.
How do the corporate scale, structure, and headquarters of Cognition and Magic compare?
Cognition is headquartered in Unknown (founding year unrecorded) with 50–200 employees. Magic is based in United States (founded in 2022) with 50–200 employees. Complete ownership, subsidiary trees, and corporate affiliations are documented across Polaris7.
Market Signals
Recent Market Signals & Activity: Cognition vs Magic
Documented market movements, strategic partnerships, product releases, and regulatory developments mapped across Polaris7.
Cognition
Recent Signals
- ·Cognition Discovered
Corridor is Joining Cognition
Corridor is joining Cognition, where we’ll be taking Devin Security to the next level.
- ·Cognition
Corridor is Joining Cognition
Corridor is joining Cognition, where we’ll be taking Devin Security to the next level.
- ·techcrunchAI Agents
Top AI Agents That Live in Your Text Messages
TechCrunch compiled a list of notable AI agents that can be reached via text messaging, including general assistants and specialized ones for families, travel, and work. Key players include Instinct, which raised $1 billion at a $10 billion valuation; Poke, acquired by Cognition for a low nine-figure sum; and Tab, which emerged from stealth with a $300 million valuation. The agents vary in features, pricing, and privacy approaches. Some run entirely on-device (Underdog) for privacy, while others like Ollie focus on family coordination with SOC 2 compliance. The article highlights the growing trend of AI assistants operating within messaging platforms rather than standalone apps.
- Instinct raised $1 billion in Series C at a $10 billion valuation.
- Cognition acquired Poke for a low nine-figure amount.
- Tab emerged from stealth with a $300 million valuation.
Magic
Recent Signals
- ·Trending Topics (DACH/CEE Innovation & Tech)AI
Magic AI Claims Frontier-Level Pretraining for Under $1M
Magic, an AI startup co-founded by Austrians Eric Steinberger and Sebastian De Ro, claims a major breakthrough in pretraining efficiency. Its new recipe reportedly matches DeepSeek V4 Pro's base model quality using 50x less compute, costing about $500,000 on Nvidia GB200 systems, and is over ten times more compute-efficient than leading open-weight models. Scaling to roughly $4 million, Magic says it outperforms all public base models on perplexity evaluations, comparing against DeepSeek V4 Pro, Kimi K2, and Nvidia's Nemotron 3 Ultra, while excluding closed models from Anthropic, Google, and OpenAI. The company has raised over $460 million, with a $320 million round valuing it at $1.5 billion, and partners with Google Cloud for tens of thousands of GB200 chips. Magic has not yet released a model, and all claims are self-reported.
- Magic claims its pretraining recipe matches DeepSeek V4 Pro's quality with 50x less compute, costing ~$0.5M on GB200, and is 10x more efficient than leading open models.
- Scaling the recipe to ~$4M, Magic says it beats all public base models on perplexity evaluations.
- Magic has raised over $460M, with a $320M round valuing it at $1.5B, and partners with Google Cloud for GB200 compute.
Compare their exact ecosystem overlaps.
Explore all deep relationships in Polaris7. Discover exactly which mutual clients, integrated technologies, and overlapping partners Cognition and Magic share across the market ecosystem.
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