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Applied Computing

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AI-powered operational optimization for heavy industries

London, United KingdomFounded 2023Energy
Valuation $100–250M Last recorded · 2026
Headcount <100 Current team size
Total funding $10–50M Disclosed equity funding
Unlock exact values This page shows ranges. Dealroom has the exact numbers for Applied Computing and the history behind them.

About Applied Computing

Applied Computing (formerly Kashmir Intelligence) is a London industrial-AI company founded in 2023 by Callum Adamson (CEO) and Sam Tukra (Chief AI Officer) that builds Orbital, a multi-foundation model for oil, gas, refining and petrochemical plants. Orbital combines time-series, physics-based and language models so operators can analyse sensor streams, engineering documentation and process constraints together, flag anomalies, investigate causes and simulate fixes across a facility in minutes rather than days. The company reports going from stealth to double-digit millions of ARR in under 18 months, with Orbital in use at large upstream, refining and petrochemical operators, partnerships including KBR (INSITE 3.0 integration for ammonia and energy projects) and Wipro, and offices in London, Houston and Bengaluru. After an earlier £9 million seed led by Stride.vc and Repeat VC, Applied Computing raised a $20 million Series A in July 2026 led by KBR with Databricks Ventures, to expand internationally, grow research and engineering, and deepen energy-client deployments. Sources: TechCrunch 15 Jul 2026; appliedcomputing.com.

Source: Dealroom company data

At a glance

Status
Operational
Founded
2023
Headquarters
London, United Kingdom
Employees
50
Open positions
None listed
Dealroom signal
93.3/100
Sub-industry
Oil & Gas, Energy Efficiency
Sector
Energy, Core AI, Predictive Maintenance, Sustainable Development Goals
Technology
Artificial Intelligence, Hardware, Big Data, Deep Tech, Machine Learning, Deep Learning, IoT InternetOfThings
Business model
Manufacturing
Client focus
b2b

Funding history

2 recorded events

Company financing events and reported valuations.

Deal typeDateAmountValuationInvestorsSource
SERIES A✓Equity / VC Jul 2026 $20M $80M KBR · Databricks Ventures ↗
SEED✓Equity / VC May 2025 $12M $48M Chris Adelsbach · Oleg Tikhturov · Material Ventures · Dan Smith ↗
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Growth signals

Applied Computing website traffic

Latest recorded traffic for Applied Computing is 5K monthly website visits, down 5.7% over the last three months. Applied Computing's team grew 127.3% over the past year.

Latest monthly visits5K 3-month web change-5.7% 1-year team growth+127.3%
Summary metrics are public; monthly history is available with a demoCompare with peers →

Similar companies

Closest operating peers by Dealroom taxonomy

Company identity and context are open; selected comparison metrics preview what is available on the platform.

Showing 8 of the closest matchesCompare every metric →

Investments and acquisitions

Capital deployed

Recent portfolio relationships for companies that also act as investors or acquirers.

Investors

16 investors on the cap table

From Dealroom's funding and investor records, grouped by the round each investor first entered.

Seed10 investors entered at this stage

Series A2 investors entered at this stage

  • KBR
  • Databricks Ventures

Other known investors4 additional known investors

  • Angel Capital Management
  • Edward Lando
  • firedrop
  • Outrun Ventures
Team profiled 4 named & role-tagged
Founders Hidden — book a demo/100 quality score
Key operators 2 quality Hidden — book a demo/100
Potential founders Hidden — book a demo likely future founders
Startup mafia Hidden — book a demo alumni-founded startups
Talent movements Hidden — book a demo in · Hidden — book a demo out past 12 months

Source: Dealroom Talent Intelligence.

Global footprint

Workforce and web traffic by country
Workforce by country
🇬🇧 United Kingdom · London HQ
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Market sentiment

Posts on X, past 7 days

An AI-synthesised read of the highest-engagement posts about Applied Computing on X, ranked by likes and reposts, corporate channels excluded.

Reading the room on X — pulling top posts and synthesizing themes…

Source: X recent search ranked by engagement (likes + retweets) · Synthesis by Claude · Cached for 1 hour

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