Applied Computing
Applied Computing builds Orbital, a proprietary physics-grounded foundation model that helps refineries, petrochemical plants, and oil & gas operators optimize processes, predict equipment failures, and reduce emissions by fusing time-series telemetry, governing physical equations, and chemical-engineering language understanding.
- Company typePrivate
- Founded2023
- HeadquartersLondon, United Kingdom
- Headcount51–100
- GTM typeB2B
- OfferingSoftware
What Applied Computing does
Applied Computing is a UK-headquartered AI company, founded in 2023, that develops Orbital — a foundation model purpose-built for energy and industrial operations. Orbital unifies three proprietary sub-models: a Time Series Model that ingests raw, unsampled sensor data from DCS, historians, and LIMS systems; a Physics-Based Model that extracts and enforces governing equations (mass balance, energy conservation, reaction kinetics) so every prediction remains physically valid; and a Domain Language Model trained on chemical engineering and petrochemical knowledge that reads P&IDs, SOPs, and work orders to surface explainable recommendations. The platform is delivered as edge- or cloud-deployed software inside customer-controlled environments with partitioned training and is governed by a Trust and Safety module designed for zero-hallucination, safety-critical industrial use.
The company sells Orbital primarily to energy operators running refineries, petrochemical plants, and oil & gas assets, addressing the ~92% of industrial data that goes unused, $20-50M/year losses per refinery from unplanned downtime, and the credibility gap that prevents general-purpose LLMs from being trusted in safety-critical operations. Its go-to-market blends direct enterprise sales with a channel ecosystem: a flagship strategic investment and multi-year JDA with KBR (NYSE: KBR) operationalized through INSITE 3.0 powered by Orbital and the joint Bengaluru Innovation Studio; channel and implementation partnerships with Wipro (Middle East, India, Southeast Asia), Kongsberg Digital/Falkor (digital twins), and Databricks (data platform integration); and an India subsidiary that opened a Bengaluru office in December 2025 to anchor the company's primary growth market. Revenue mechanics span Orbital licensing/subscription, joint development and licensing arrangements with KBR, managed services via INSITE 3.0 (revenue share), and partner-led implementation services, with pricing structured as multi-year, quote-based enterprise contracts.
As of early 2026, Applied Computing has 11-50 employees, operates on a remote-first basis from London and Bengaluru, has raised a £9M seed round (May 2025, Stride.VC + Repeat.vc) plus an undisclosed strategic investment from KBR (March 2026), and is positioning for a Series A to fund continued expansion of Orbital and the India-led delivery hub.
Applied Computing firmographics
Firmographics- Name
- Applied Computing
- Legal name
- Applied Computing Technologies Ltd
- Website
- https://appliedcomputing.com
- Company type
- Private
- Founded year
- 2023
- Operating status
- Operating
- Headcount range
- 51–100 employees
- Short description
- Applied Computing builds Orbital, a proprietary physics-grounded foundation model that helps refineries, petrochemical plants, and oil & gas operators optimize processes, predict equipment failures, and reduce emissions by fusing time-series telemetry, governing physical equations, and chemical-engineering language understanding.
- Ownership category
- akta.pro rank
Applied Computing industry classification
Industry- Product category
- Industrial AI Software / Energy Operations Software
- NAICS
- Instruments and Related Products Manufacturing for Measuring, Displaying, and Controlling Industrial Process Variables (334513), Computer Systems Design and Related Services (54151)
- SIC
- Services-Computer Integrated Systems Design (7373), Industrial Instruments For Measurement, Display, And Control (3823)
- akta.pro primary industry
- Industrial Automation Software (SCADA, HMI, MES, Historian) (IMAHAHAJ)
- akta.pro secondary industry
- Instrumentation, Controls & Automation (DCS/PLC/SCADA, SIS, Metering) (EUAEAFAC)
Keywords
Where Applied Computing is headquartered
LocationHeadquarters
- HQ city
- London
- HQ country
- United Kingdom
- HQ region
- Europe
Offices2 records
Markets served
Applied Computing business model
Business model- GTM type
- B2B
- Offering type
- Software
- Cost components
- Personnel, Technology or R&D, Marketing or Sales, Infrastructure, Operations
Revenue model
- Enterprise AI Platform (Orbital) Subscription / Licensing: Recurring revenue from licensing the Orbital foundation model and related AI capabilities to energy operators; delivered as a managed platform (edge or cloud) within customer environments.
- Joint Development & Co-Created AI Products: Multi-year joint development agreement with KBR to co-create exclusive AI products integrating Orbital with KBR's licensed process technologies; strategic investment with board seat.
- Managed Services via KBR INSITE 3.0 (Powered by Orbital): Revenue share / services revenue from delivering remote monitoring and advisory services through KBR's INSITE 3.0 platform, operated out of the joint Bengaluru Innovation Studio; first customers expected later 2026.
- Implementation & Consulting via Partner Ecosystem: Deployment of physics-informed AI solutions through consulting and implementation partners such as Wipro Limited across the Middle East, India, and Southeast Asia.
Pricing tiers
| Model | Billing | Price |
|---|---|---|
| Other | Multi-year contract | Quote-based / not publicly disclosed; enterprise engagement via contact form. |
Go-to-market motion3 records
Distribution channels5 records
Marketing channels8 records
Applied Computing product offering
Product offeringCore offering
Applied Computing develops and licenses Orbital, a physics-grounded foundation model purpose-built for energy and industrial operators. Orbital unifies a Time Series Model that ingests raw sensor data from DCS, historians and LIMS, a Physics-Based Model that encodes governing equations such as mass balance and energy conservation, and a Domain Language Model trained on chemical engineering and petrochemical knowledge that reads P&IDs, SOPs and work orders. The platform is sold as enterprise software to refineries, petrochemical plants and oil & gas operators, delivered on the edge or in the cloud inside the customer's environment.
Product overview
Applied Computing offers a single unified product, Orbital, a foundational AI platform purpose-built for energy and industrial operators. Orbital is architected as three integrated model components — a Time Series Model that ingests raw data from DCS, historians, and LIMS systems; a Physics-Based Model that encodes governing equations so every prediction respects mass balance, energy conservation, and reaction kinetics; and a Language Model trained on chemical engineering and petrochemical knowledge that reads P&IDs, SOPs, and work orders to retrieve context and recommend actions. These layers are unified through the Orbital Integration Layer and governed by the Orbital Trust and Safety module, and extended into vertical solutions such as the Refining & PetroChem offering. The same Orbital platform powers KBR's INSITE 3.0 remote monitoring and advisory platform, delivered jointly through KBR's Innovation Studio in Bengaluru.
Differentiator
Problem solved
Functional benefit
Brands
- Orbital: Applied Computing's physics-grounded foundation model / AI platform for energy operators, combining time-series, physics-based and language-based reasoning for refining, petrochemical and broader energy operations.
Products and services
- Orbital Orbital is Applied Computing's foundational AI platform for energy and industrial operators. It monitors thousands of sensors, forecasts outcomes, finds optimal set-points across competing objectives, and provides early warnings of equipment issues in real time. The platform fuses physics-aware, time-series, and language capabilities into a single foundation-model architecture and is deployed on the edge or in the cloud inside the customer's environment.
- Refining & PetroChem Vertical Solution (Orbital) Orbital's downstream vertical application for refining and petrochemical operators. Supported by published case studies on distillation column optimisation, natural gas processing simulation (GAIL Gandhar plant, 7% yield purity improvement), and CO2 capture (53.7% accuracy improvement on Imperial College ABB Carbon Capture Pilot Plant).
- INSITE 3.0 (Powered by Orbital) Partner product delivered by KBR (NYSE: KBR) as a remote monitoring and advisory platform for industrial assets, powered by Applied Computing's Orbital foundation model. Operationalised through KBR's Innovation Studio in Bengaluru, serving KBR's global customer base in energy, chemicals, and industrial markets.
Quantifiable outcome
- 7% yield purity improvement in natural gas processing (Orbital vs. Linear Programming / Ensemble methods on GAIL Gandhar plant simulation)
- +4 more outcomes
Companies that use Applied Computing
Customer profileNamed customers2 records
Segments5 records
Ideal customer profiles3 records
Applied Computing technology and API
TechnologyTechnology focussed Yes
API detail
- Has API
- No
- API docs
- API detail
Core technology
AI maturity
App detail
Integration4 records
AI capability4 records
Feature9 records
Applied Computing partnerships and signals
Strategic signalPartnerships
Four partnerships are on record, tiered flagship, core and minor.
- Wipro LimitedflagshipStrategic partnership to deploy physics-informed AI solutions for energy operators across the Middle East, India, and Southeast Asia. Wipro Consulting (APAC, Middle East and Africa) — represented on the Applied Computing homepage by Head of Consulting Sidharth Mishra — co-delivers solutions that embed explainable AI into energy workflows to modernise infrastructure, meet decarbonisation targets, and improve safety and reliability.
- Kongsberg Digital / Falkor (a KONGSBERG Company)corePartnership to bring digital twins powered with industrial AI to energy operations, combining Kongsberg Digital's digital-twin platform with Applied Computing's Orbital. Cited alongside Databricks as a strategic partner in the Downstream India Excellence Awards 2026 release.
- DatabrickscoreTechnology partnership to integrate Orbital with the Databricks data platform, enabling processing of trillions of time-series data points in parallel for global energy operations. Jointly announced via a YouTube video 'Applied Computing and Databricks Team Up on Energy AI' and referenced as a strategic partnership in the Downstream India Excellence Awards 2026 release.
- Imperial College London (ABB Carbon Capture Pilot Plant)minorResearch collaboration using Imperial College's ABB Carbon Capture Pilot Plant as a benchmark testbed for Orbital; the case study demonstrated a 53.7% improvement in CO₂ concentration prediction accuracy vs. Imperial's State-of-the-Art Model and outperformed TimesNet and DAE-LSTM. Applied Computing is also an Imperial College alumni-founded company.
Scale indicators10 records
Recent moves8 records
Expansion highlights6 records
Applied Computing competitors and assessment
Company assessmentDirect peers
- C3.ai: Enterprise AI application platform with deep energy, oil & gas, and process manufacturing deployments. Closest direct peer in business model and target customer base, though much larger and broader in scope than Applied Computing's energy-specific Orbital.
- Uptake: Industrial AI platform focused on asset performance, predictive maintenance, and operational optimization across energy, rail, and heavy industry. Comparable in its domain-specialized AI approach and energy-sector go-to-market.
- Aspen Technology (now part of Emerson): Process optimization, asset performance management, and digital twin software for refining, petrochemicals, and process manufacturing. Highly comparable in customer base and value proposition (optimizing refineries and petrochemical plants), though delivered via a broader, established software suite rather than a foundation model.
- SparkCognition: AI platform for industrial operations including energy and process manufacturing, focused on predictive maintenance and asset optimization. Comparable in technology approach (AI for industrial assets) and customer profile, though broader in industry coverage.
- Beyond Limits: Industrial AI company that combines machine learning with physics-based reasoning, originally spun out of NASA JPL. Highly comparable technology positioning (physics-grounded AI for energy and industrial operations) and direct overlap in oil & gas and process manufacturing customers.
Broad incumbents
- AVEVA (Schneider Electric): Industrial software and digital twin platform serving the same refining, petrochemical, and process manufacturing customers. Comparable in target market and integration scope, but operates as a much larger incumbent software suite rather than a focused AI product.
- Palantir Technologies: Enterprise data and AI platform (Foundry) used by major energy operators for operational decision-making. Overlaps in customer base and AI-for-operations value proposition, but Palantir is a broad incumbent with no energy-specific foundation model.
- Honeywell Forge: Industrial AI and process optimization suite from a major industrial incumbent, with deep installed base in refineries and petrochemical plants. Comparable in target customer and outcome (process optimization), though much broader and bundled with Honeywell's DCS/experion stack.
Emerging players
- Canvass AI: Industrial AI platform purpose-built for process manufacturers (chemicals, oil & gas, metals) to optimize operations and yield. Comparable in vertical focus on process industries, though at a smaller scale and with a narrower product set than Orbital.
Others
- Kongsberg Digital: Industrial digital twin and software platform for energy and maritime, already a named partner of Applied Computing. Relevant as a peer given overlapping energy-operator customer base and digital twin scope, but functions more as a partner/ecosystem participant than direct competitor.
Market position
Strengths5 records
Weaknesses5 records
Competitive moat6 records
Key risks6 records
Key highlights7 records
Customer concentration
Applied Computing social profiles
Digital presenceApplied Computing compliance and trust
Trust signalCompliance1 record
Applied Computing financial estimates
Financial estimateRevenue estimate
Valuation estimate
Applied Computing leadership team
Management profileNumber of profiles
Profiles6 records
Applied Computing subsidiaries and ownership
Company hierarchySubsidiaries1 record
Applied Computing funding detail
Funding detailFunding overview
Funding rounds4 records
Investors7 records
Funding detail is available on the Subscription and Enterprise plan.Contact sales →
Applied Computing M&A and investment
M&A and investmentM&A
Investments
M&A and investment is available on the Subscription and Enterprise plan.Contact sales →
Frequently asked questions about Applied Computing
What does Applied Computing do?
Applied Computing develops and licenses Orbital, a physics-grounded foundation model purpose-built for energy and industrial operators. Orbital unifies a Time Series Model that ingests raw sensor data from DCS, historians and LIMS, a Physics-Based Model that encodes governing equations such as mass balance and energy conservation, and a Domain Language Model trained on chemical engineering and petrochemical knowledge that reads P&IDs, SOPs and work orders. The platform is sold as enterprise software to refineries, petrochemical plants and oil & gas operators, delivered on the edge or in the cloud inside the customer's environment.
Is Applied Computing a public or private company?
Applied Computing is a private company. It is classified as venture growth investor backed and is currently operating.
When was Applied Computing founded?
Applied Computing was founded in 2023. It employs 51 to 100 people.
Where is Applied Computing based?
Applied Computing is headquartered in London, United Kingdom, in the Europe region.
How does Applied Computing make money?
Four revenue lines are on record. Enterprise AI Platform (Orbital) Subscription / Licensing is the primary driver. The others are joint Development & Co-Created AI Products, managed Services via KBR INSITE 3.0 (Powered by Orbital) and implementation & Consulting via Partner Ecosystem.
Who are Applied Computing's main competitors?
Direct peers on record are C3.ai, Uptake, Aspen Technology (now part of Emerson), SparkCognition and Beyond Limits. Broad incumbents are AVEVA (Schneider Electric), Palantir Technologies and Honeywell Forge. Canvass AI is listed as an emerging player. Kongsberg Digital is listed as an others.
Does Applied Computing have an API?
No public API is recorded for Applied Computing.
What industry is Applied Computing in?
Applied Computing's product category is Industrial AI Software / Energy Operations Software. Its primary akta.pro industry code is IMAHAHAJ, Industrial Automation Software (SCADA, HMI, MES, Historian), with a secondary code of EUAEAFAC, Instrumentation, Controls & Automation (DCS/PLC/SCADA, SIS, Metering). Its NAICS code is 334513 and its SIC code is 7373.