Startup profile · funding coverage
Trajectory funding, valuation and investors
Continual-learning infrastructure so production AI agents improve from real usage and corrections.
Funding, valuation & investors
Answer-first snapshotLatest funding
Series A
$40M · August 2026
Latest known valuation
$300M post
Series A · August 2026
Total disclosed equity funding
$40M
Excludes debt, grants, acquisitions, secondaries, and IPO proceeds.
Current status
private
series a · San Francisco, United States
Overview
Trajectory builds AI infrastructure for continual learning from production traces, telemetry, and user corrections so agents and harnesses improve after deployment. Founded in May 2026 by Ronak Malde, Michael Elabd, and Arjun Karanam, the San Francisco company raised a $40 million Series A at a $300 million post-money valuation around August 17, 2026, led by Sequoia Capital with participation from NVIDIA and Bessemer Venture Partners. Early customers and partners cited across company materials and Dealroom coverage include Clay, Decagon, and Harvey.
Why Trajectory is interesting
August 2026 $40M Sequoia-led Series A at $300M post with NVIDIA and Bessemer — ~2 months after a $15M seed at $115M — selling the learning loop for Clay/Decagon/Harvey-class agent products.
Product & use cases
Platform to observe, direct, and continually train the intelligence behind AI products using production trajectories.
- Post-training / fine-tuning from production corrections
- Agent harness optimization for cost and accuracy
- Continual learning for vertical AI apps (legal, support, sales)
Key facts
- Series A (Aug 2026): $40M @ $300M post led by Sequoia; NVIDIA and Bessemer participate
- Prior seed ~$15M @ ~$115M post ~2 months earlier (Dealroom)
- Customers/partners cited: Clay, Decagon, Harvey
- Founders from DeepMind / Apple research backgrounds
Funding history (newest first)
Series A
2026-08 $40M Valuation: $300M post- Sequoia Capital (lead)
- NVIDIA (participant)
- Bessemer Venture Partners (participant)
Investors in our directory
Funds linked from Trajectory's profile — open a fund page for stage focus and related deal articles.
Competitive landscape
Edge: Productized continual-learning loop for app teams — not only offline eval or raw inference hosting.
Trajectory sits under vertical AI apps that need quality to keep rising after launch. Round details are reported via FinSMEs/Dealroom/The Information.
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Classic MLOps / eval vendors adjacent
Strong on observability; less end-to-end continual learning.
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Inference platforms adjacent
Serve models; Trajectory emphasizes learning from production.
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In-house research teams alternative
Only economical for the largest AI product companies.
Notable stories
- Dealroom notes the Series A followed a $15M seed at $115M post by about two months.
- CEO Ronak Malde previously worked on coding-agent efforts at Windsurf before founding Trajectory.
Related funding articles
Venture Capital Tracker pieces that cover Trajectory's financing or category context.
FAQs about Trajectory
Practical answers founders, operators, and investors typically search for.
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