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- Applied Compute
Applied Compute Valuation, Funding & Investors
Applied Compute is valued at $630M as of October 2025.
Last Applied Compute valuation
$630M
Undisclosed stage · Oct 2025
Last Applied Compute funding round
$80M
Undisclosed stage · Apr 2026
Cumulative funding Applied Compute raised
$160M
across 2 funding rounds
Key investors in Applied Compute
Lux Capital
Neo
Elad Gil
Hanabi Capital
Sequoia Capital
Kleiner Perkins
About Applied Compute
Applied Compute is a San Francisco-based AI startup developing custom large language models and domain-specific intelligence for enterprise workflows. The company fine-tunes models on proprietary datasets for legal document review, supply chain forecasting, and customer support automation. Deployed on private clouds, its solutions process 1TB datasets with retrieval-augmented generation. Applied Compute serves Fortune 1000 firms in tech and manufacturing. Launched in 2023, it integrates with Salesforce and SAP ecosystems.
Founded
2025
HQ
Website
Status
Privately held
Customer focus
B2B
Revenue model
Subscription
Valuation
$630M (Oct 2025)
Applied Compute Valuation
Applied Compute is currently valued at $630M, based on its undisclosed-stage round in October 2025.
The $80M round was led by Benchmark, Lux Capital and Sequoia Capital, with participation from Hanabi Capital, Victor Lazarte, Neo, Omri Casspi and Elad Gil.
Applied Compute valuation by funding round
| Date | Stage | Valuation |
|---|---|---|
| Oct 2025 | Undisclosed stage | $630M |
Applied Compute Funding History
Applied Compute has raised a total of $160M across 2 funding rounds.
Applied Compute's first fundraising round was a $80M undisclosed-stage round in October 2025. The most recent completed round was a $80M undisclosed-stage round in April 2026.
Applied Compute funding rounds
| Date | Stage | Investors | Raised | Valuation | Deal Summary |
|---|---|---|---|---|---|
| Apr 2026 | Undisclosed stage | Kleiner Perkins (lead); Greenoaks; Hanabi Capital; Lux Capital; Neo; Elad Gil | $80M | - | - |
| Oct 2025 | Undisclosed stage | Benchmark (lead); Lux Capital (lead); Sequoia Capital (lead); Hanabi Capital; Victor Lazarte; Neo; Omri Casspi; Elad Gil | $80M | $630M | Applied Compute is an enterprise AI startup founded by former OpenAI researchers, specializing in 'Specific Intelligence' for building proprietary in-house AI agent workforces using a company's own domain expertise and data. The platform unlocks latent organizational knowledge to train custom models and deploy dedicated agents that integrate with internal teams, continuously improving performance. Early adopters include DoorDash, Mercor, and Cognition, achieving rapid model training and measurable business outcomes. The company emerged from stealth with an $80 million funding round on approximately October 30, 2025, led by Benchmark, Lux Capital, and Sequoia Capital, with participation from Hanabi Capital, NEO, Elad Gil, Omri Casspi, and Victor Lazarte. This Series A round valued Applied Compute at nearly $700 million post-money, according to AIM Media House. The funding supports team expansion, scaling deployments, and accelerating the agent-based platform rollout across industries. Unlike general-purpose AI models or outsourced development, Applied Compute emphasizes competitive advantage through specialized agents tailored to specific company needs, workflows, and knowledge bases. It has built its own in-house training stack, agent platform, and development tools, embedding engineers directly with client teams for faster deployment in days rather than months. Prior to this round, the company raised about $20 million in a pre-launch round in mid-2025 led by Benchmark at a $100 million valuation. By late 2025, total funding reached roughly $80 million. Subsequent reports in January 2026 noted early talks for a new round at $1.3 billion valuation after a $500 million prior valuation in September 2025, led potentially by Kleiner Perkins, though not finalized. |
Who has invested in Applied Compute?
10 investors have backed Applied Compute across its funding rounds, including Lux Capital, Neo, Elad Gil, Hanabi Capital, Sequoia Capital and Kleiner Perkins.
Lead investors include Kleiner Perkins, Benchmark, Lux Capital and Sequoia Capital.
Applied Compute Investors
| Investor | HQ | Rounds | Role | First check |
|---|---|---|---|---|
| 2 | Participant | Oct 2025 | ||
| 2 | Lead | Oct 2025 | ||
| 2 | Participant | Oct 2025 | ||
| 2 | Participant | Oct 2025 | ||
| 1 | Participant | Apr 2026 | ||
| 1 | Lead | Apr 2026 | ||
| 1 | Lead | Oct 2025 | ||
| 1 | Participant | Oct 2025 | ||
This data is available for Pro users. Sign up to see all 10 Applied Compute investors. Start Free Trial | ||||
Benchmark 350K+ Funding Rounds and Disclosed VC Valuation Multiples
Sign up to see data on 350K+ funding rounds and disclosed revenue and EBITDA valuation multiples, from seed, through growth stage, to pre-IPO.
Start Free TrialApplied Compute Competitors
Applied Compute competitors include listed companies like PKSHA Technology and Reconova Technologies, and private ones like Pryon, Apprentice.io, Soul APP and Pliops.
| Company | HQ | Status | Revenue | EBITDA | Valuation | Revenue Multiple |
|---|---|---|---|---|---|---|
| Publicly listed | $140M | $47M | $627M | 2.4x | ||
| Private | - | - | $625M | - | ||
| Publicly listed | $66M | ($8M) | $635M | - | ||
| Private | - | - | $622M | - | ||
| Private | $244M | - | $620M | - | ||
| Private | - | - | $650M | - |
Applied Compute Public Comps
Applied Compute is still privately-owned, but its public comps include PKSHA Technology, Reconova Technologies, ExaWizards, Beijing Hanyi Innovation, Ropeok Technology Group, Beijing CTJ Info Tech, Datasection, Rezolve AI, Vrain Solution and Coveo Solutions.
| Last FY | EV/Revenue | EV/EBITDA | ||||||
|---|---|---|---|---|---|---|---|---|
| Revenue | EBITDA | Last FY | LTM | 2027E | Last FY | LTM | 2027E | |
| $140M | $47M | 4.1x | 2.4x | 12.2x | 10.7x | |||
| $66M | ($8M) | 10.0x | - | (82.0x) | - | |||
| $77M | $13M | 6.6x | 5.7x | 39.3x | - | |||
| $28M | $5M | 15.6x | 13.9x | 89.9x | 50.9x | |||
| $23M | ($28M) | 18.6x | - | (15.2x) | - | |||
| $123M | $13M | 5.3x | 4.9x | 51.3x | 34.6x | |||
| $216M | $27M | 1.6x | 1.6x | 12.7x | 13.0x | |||
| $47M | ($109M) | 23.3x | 4.0x | (10.0x) | (19.3x) | |||
This data is available for Pro users. Sign up to see all Applied Compute competitors and their valuation data. Start Free Trial | ||||||||
Common questions about Applied Compute
| When was Applied Compute founded? | Applied Compute was founded in 2025. |
| Where is Applied Compute headquartered? | Applied Compute is headquartered in San Francisco, CA, United States. |
| Is Applied Compute publicly listed? | No, Applied Compute is a private, VC-backed company. |
| What is Applied Compute's valuation? | Applied Compute was last valued at $630M in its undisclosed-stage round in October 2025. |
| How much funding has Applied Compute raised? | Applied Compute has raised $160M across 2 funding rounds. |
| What was Applied Compute's last funding round? | Applied Compute's last funding round was a $80M undisclosed-stage round in April 2026, led by Kleiner Perkins. |
| Who are Applied Compute's investors? | Applied Compute's investors include Hanabi Capital, Lux Capital, Neo, Elad Gil, Greenoaks, Kleiner Perkins, Benchmark, Victor Lazarte, Omri Casspi and Sequoia Capital. |
| Which companies are comparable to Applied Compute? | Companies comparable to Applied Compute include PKSHA Technology, Pryon, Reconova Technologies, Apprentice.io, Soul APP and Pliops. |
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