Is Applied Compute profitable?

Applied Compute has not disclosed audited revenue as of July 2026. It has raised roughly $160M across three rounds through April 2026, including an $80M Series B at a $1.3B valuation on 2026-04-08, funding that typically signals pre-profitability growth-stage spending, not confirmed profitability.

Could AI replace Applied Compute?

Applied Compute's core business, custom post-training and agent-harness building, is exactly what OpenAI's Deployment Company, Anthropic's Ode, Microsoft Foundry Agent Service, and Google Gemini Enterprise all shipped as native offerings between April and July 2026, directly threatening its niche.

Who are Applied Compute's biggest competitors?

OpenAI's Deployment Company ($4B+ backing, as of 2026-05-22) and Anthropic's Ode ($1.5B, Blackstone/Goldman backed, as of 2026-07-26) are the largest threats, alongside Microsoft Foundry Agent Service (GA July 2026) and Google Gemini Enterprise (launched April 2026).

Who owns Applied Compute?

Applied Compute is privately held and venture-backed, with no parent company. Investors include Kleiner Perkins, Sequoia, Benchmark, Lux Capital, Greenoaks, and Elad Gil, following an $80M Series B on 2026-04-08 at a $1.3B post-money valuation.

What does Applied Compute actually build?

Applied Compute builds custom post-trained AI models and tool-using agent workforces on a customer's own proprietary data, branded 'Specific Intelligence,' delivered via its Agent Cloud platform with embedded engineering support, as described on its own site as of 2026-07-02.

Has Applied Compute proven its technology works?

Yes: a model Applied Compute post-trained on GLM 4.7 topped the APEX-Agents corporate-law leaderboard with a 26.6% Pass@1 and 54.8% mean score, in a joint case study with Mercor and Harvey published 2026-02-24.

United States · United States

Applied Compute

Startup that custom-trains AI models and agents on client data with hands-on support.

Losing its protection

Assessed 29 July 2026 · Evidence as of 29 July 2026

The structural protection is eroding.

On the recordSince 29 July 2026 · Checkable from next 6-12 months · Every call on the record Checkpoint: Whether DoorDash, Harvey, Cognition, Mercor, or Bridge sign with OpenAI's Deployment Company or Anthropic's Ode

The call

Applied Compute has real early wins but sits in a layer that OpenAI, Anthropic, Microsoft, and Google are all now building into their own platforms.

Applied Compute takes a company's own data and builds a custom AI model and AI workers for them, with engineers helping along the way. It is now easy to copy or replace because OpenAI, Anthropic, Microsoft, and Google all launched the same thing between April and July 2026, and those four have far more money, better-known AI models, and direct relationships with big customers already. The one thing that could change this is if the company's biggest customers, like DoorDash or the law firm Harvey, actually stay with Applied Compute when the giants knock on their door with cheaper bundled deals, which would prove Applied Compute has real value beyond just being first.

Why

AI pressure: OpenAI Deployment Company, Anthropic Ode, Microsoft Foundry, Google Gemini Enterprise Agent Platform. Frontier labs now ship the same post-training and agent-building work bundled with their own models, often cheaper. Could AI do the core job? Yes, likely.

Bigger players: OpenAI, Anthropic, Microsoft, Google. All four launched competing enterprise agent units between April and July 2026, each with far more capital and existing sales reach. Could a giant copy it? Yes, easily.

What protects it. Working relationships and technical proof points with named customers like Harvey, DoorDash, and Mercor, built before rivals entered.

What would change this call

DoorDash, Harvey, Cognition, Mercor, or Bridge signs or migrates to OpenAI Deployment Company or Anthropic Ode. Shows Applied Compute's marquee logos are being absorbed by incumbents.
Applied Compute announces a new funding round or discloses ARR/retention figures within 12 months. Shows whether investors and customers still back its thin-moat model despite incumbent entry.
Microsoft Foundry Agent Service or Google Gemini Enterprise publishes named enterprise wins in legal or logistics verticals. Shows incumbents directly capturing Applied Compute's target industries.

Key numbers

$1.3B valuation after $80M Series B (2026-04-08)
Roughly 25-28 employees (2026-07-08)
Topped APEX-Agents legal benchmark, Pass@1 26.6% (2026-02-24)

Named risks

No owned proprietary data, IP, or regulatory lock-in against better-funded incumbents. Severity: high
Four capital-rich platforms (OpenAI, Anthropic, Microsoft, Google) entered its niche within one quarter of 2026. Severity: high
Customer base concentrated among a handful of named logos (DoorDash, Harvey, Cognition, Mercor, Bridge). Severity: medium
Revenue remains undisclosed by the company as of July 2026, leaving traction unverified. Severity: medium
Valuation escalated from ~$100M to $1.3B in under a year, raising down-round risk if growth stalls. Severity: medium

Rivals, as read in July 2026

Rival	Direction	Evidence
OpenAI Deployment Company	contesting	$4B+ backed unit targets same enterprise deployment market as of 2026-05-22
Anthropic Ode	contesting	$1.5B Blackstone/Goldman backed venture entered AI implementation market by 2026-07-26
Microsoft Foundry Agent Service	contesting	Reached general availability with metered agent-runtime pricing, 2026-07-10
Google Gemini Enterprise Agent Platform	contesting	Launched enterprise agent platform 2026-04-22
Prime Intellect	gaining on	Launched competing full-stack agent platform 2026-07-19

Questions people ask

Is Applied Compute profitable?: Applied Compute has not disclosed audited revenue as of July 2026. It has raised roughly $160M across three rounds through April 2026, including an $80M Series B at a $1.3B valuation on 2026-04-08, funding that typically signals pre-profitability growth-stage spending, not confirmed profitability.
Could AI replace Applied Compute?: Applied Compute's core business, custom post-training and agent-harness building, is exactly what OpenAI's Deployment Company, Anthropic's Ode, Microsoft Foundry Agent Service, and Google Gemini Enterprise all shipped as native offerings between April and July 2026, directly threatening its niche.
Who are Applied Compute's biggest competitors?: OpenAI's Deployment Company ($4B+ backing, as of 2026-05-22) and Anthropic's Ode ($1.5B, Blackstone/Goldman backed, as of 2026-07-26) are the largest threats, alongside Microsoft Foundry Agent Service (GA July 2026) and Google Gemini Enterprise (launched April 2026).
Who owns Applied Compute?: Applied Compute is privately held and venture-backed, with no parent company. Investors include Kleiner Perkins, Sequoia, Benchmark, Lux Capital, Greenoaks, and Elad Gil, following an $80M Series B on 2026-04-08 at a $1.3B post-money valuation.
What does Applied Compute actually build?: Applied Compute builds custom post-trained AI models and tool-using agent workforces on a customer's own proprietary data, branded 'Specific Intelligence,' delivered via its Agent Cloud platform with embedded engineering support, as described on its own site as of 2026-07-02.
Has Applied Compute proven its technology works?: Yes: a model Applied Compute post-trained on GLM 4.7 topped the APEX-Agents corporate-law leaderboard with a 26.6% Pass@1 and 54.8% mean score, in a joint case study with Mercor and Harvey published 2026-02-24.

Timeline

2026-07-21Adopted SkyPilot compute-management platform alongside Nubank, Abridge, H Company
2026-07-10Microsoft Foundry Agent Service reaches general availability with metered pricing
2026-07-07Anthropic expands Claude Cowork to web and mobile
2026-07-06OpenAI moves Workspace Agents to credit-based billing
2026-06-23CEO Yash Patil publicly frames 'Own or Be Owned' enterprise AI thesis
2026-04-22Google launches Gemini Enterprise Agent Platform
2026-04-08Closes $80M Series B led by Kleiner Perkins at $1.3B valuation
2026-02-24Applied Compute model tops APEX-Agents legal benchmark with Mercor and Harvey
2025-12-09Presents proprietary RL stack at AI Engineer Code Summit
2025-10-30Publicly launches with $80M funding led by Benchmark, Sequoia, Lux

Revision history

29 July 2026

First assessed. Losing its protection. The text above is fixed as of this date and is not edited afterwards.

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