CBS News · Reporting
Oct 2, 2026
Editorial intelligence brief
Editorial focus
Outlined the Mercor Research team on October 8, 2026, linking expert-generated data, evaluations and post-training experiments for knowledge-work agents.
Focus: Expert-generated training data, evaluations and post-training research
Latest funding
$350M
Series C · source-backed
Tracked funding
$350M
Sum of itemized funding events
Latest valuation
Not tracked
No source-backed record
Latest revenue
Not tracked
Deployment lifecycle position
Editorially verified updates
What changed
Outlined the Mercor Research team on October 8, 2026, linking expert-generated data, evaluations and post-training experiments for knowledge-work agents.
External coverage of Mercor
Selected by relevance, date and publisher; grouped by story. External reporting is not independently verified by the map. Article dates are publisher timestamps supplied by the discovery feed; quieter profiles may show coverage up to 90 days old.
Last checked Oct 18, 2026.
Business Insider · Reporting
Jul 26, 2026
Source-backed financial history
Funding and financial history
Funding, valuation, revenue, and debt are kept separate so unlike measurements are never presented as one trend.
Records
1
Sum of recorded funding
$350M
Coverage
partial
Partial history: earlier or intervening rounds may be missing. The sum covers only the announcements recorded here, not lifetime funding. Announced commitments may be paid over time; this is not a cash balance. Dates show announcements or first public reports, which can follow the investment itself.
One funding announcement recorded. More dated rounds are needed to show funding over time.
#1
Series C · $350M
Running tracked total: $350M
#1
Series C · $350M
Running tracked total: $350M
Sources and details for every recorded funding announcement, newest first.
Series C · $350M
$350M Series C led by Felicis; $10B is the separate valuation.
Product surface
Products and model families
Recent models
APEX-Agents post-trained Qwen3.5-397B
Products
Expert data servicesAPEX benchmarksAPEX-Agents
Open weights
Yes
API access
No
Review target
Weekly
Market position
Lifecycle and strategic signals
Research
Preview
Growth
Deployment
Deployment: Production & at scale
Focus
Expert-generated training data, evaluations and post-training research
Signals
Training dataOpen weights
Taxonomy
EvaluationResearchEnterprise agents
Competitive context
Scale AISurge AITuring
Infrastructure & distribution
Where Mercor sits in the AI stack
01
Model layer
1 tracked model family
02
Access layer
Self-hostable weights
03
Market layer
Vertical + Enterprise
Public product surface
Expert data servicesAPEX benchmarksAPEX-Agents
Stack signals
EvaluationResearchEnterprise agentsTraining dataOpen weights
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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