Funding round · $320M
$320M funding round.
Frontier Labs · Private company · Research
Magic
✓ VerifiedMagic belongs on the map as a model-first coding company, not just another developer tool, because it is trying to push the underlying research frontier.
San Francisco, USFounded 2022No public API trackedWeekday review
Editorial intelligence brief
What matters now
Magic is still centered on frontier code-model research, with ultra-long context work, Google Cloud partnership, and AGI-readiness framing.
Focus: Frontier code models and ultra-long-context systems for software engineering and research
Latest funding
$320M
Funding round · source-backed
Tracked funding
$320M
Sum of itemized funding events
Latest valuation
Not tracked
No source-backed record
Latest revenue
Not tracked
Research lifecycle position
Source-backed financial history
Capital and commercial trajectory
Funding, valuation, revenue, and debt are kept separate so unlike measurements are never presented as one trend.
Records
1
Tracked total
$320M
Coverage
partial
#1
Funding round · $320M
Running tracked total: $320M
Every numbered chart marker maps to one source-linked funding announcement below.
TechCrunch ↗ source for Funding round $320M
Chronological activity
What changed
Magic is still centered on frontier code-model research, with ultra-long context work, Google Cloud partnership, and AGI-readiness framing.
A structured event record is still being assembled for this company.
Recent coverage of Magic
Consolidated by storyMAGIC AI Revenue 2025: $4.1M Est. ARR, $8.6M Raised
GetLatka · Aug 10
Three "Capital Magic" Tricks Fueling the Skyrocketing Valuations of Zhipu AI and MiniMax
36 Kr · Jun 22
GitHub recognized as a Leader in the Gartner® Magic Quadrant™ for Enterprise AI Coding Agents for the third year in a row
The GitHub Blog · 3 related sources · May 22
Product surface
Products and model families
Recent models
No standalone model family is structured for this profile.
Products
Magic
Open weights
No
API access
No
Review cadence
Weekdays
Market position
Lifecycle and strategic signals
Research
Preview
Growth
Deployment
Research: Early research & prototypes
Focus
Frontier code models and ultra-long-context systems for software engineering and research
Signals
CodingLong contextFrontier research
Taxonomy
Agentic Coding ToolsCodingCoding agentsResearch
Competitive context
PoolsideOpenAIAnthropic
Infrastructure & distribution
Where Magic sits in the AI stack
01
Model layer
No standalone model family tracked
02
Access layer
Application or managed product
03
Market layer
Frontier Labs
Public product surface
Magic
Stack signals
CodingCoding agentsResearchLong contextFrontier research
This section reflects publicly visible product and access signals. Undisclosed GPU, cloud, training, and data-center contracts are not inferred.
Evidence trail
Sources and corrections
Primary and public sources used to verify the structured company profile.
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