Imubit
- Company typePrivate
- Founded2016
- HeadquartersHouston, United States
- Headcount101–250
- GTM typeB2B
- OfferingSoftware
Imubit firmographics
Firmographics- Name
- Imubit
- Legal name
- Imubit, Inc.
- Website
- https://imubit.com
- Company type
- Private
- Founded year
- 2016
- Operating status
- Operating
- Headcount range
- 101–250 employees
- Ownership category
- akta.pro rank
Imubit industry classification
Industry- Product category
- Industrial AI Process Optimization
- NAICS
- Software Publishers (5132), Computer Systems Design Services (541512)
- SIC
- Services-Prepackaged Software (7372), Services-Computer Integrated Systems Design (7373), Industrial Instruments For Measurement, Display, And Control (3823)
- akta.pro primary industry
- End-to-End Enterprise AI Platforms (MLOps & Model Lifecycle Management) (HDAEANAA)
- akta.pro secondary industries
- AI Integration & Orchestration Platforms (Connectors, Workflow, iPaaS for AI) (HDAEANAI), AI/ML Engineering & Model Development Services (BPAEAHAF)
Keywords
Where Imubit is headquartered
LocationHeadquarters
- HQ city
- Houston
- HQ country
- United States
- HQ region
- North America
Offices4 records
Markets served
Imubit business model
Business model- GTM type
- B2B
- Offering type
- Software
- Cost components
- Personnel, Technology or R&D, Marketing or Sales, Operations, Infrastructure
Revenue model
- AI Optimization Platform Subscription: Software-as-a-service platform subscription for industrial AI optimization. Implementation includes professional services for model development, training, and deployment. Ongoing value delivered through continuous optimization and model maintenance.
- Professional Services: Implementation, system integration, and deployment services. Partners provide domain expertise and localized service delivery across global markets.
Pricing tiers
| Model | Billing | Price |
|---|---|---|
| Subscription | Multi-year contract | Enterprise platform with outcomes-based value metrics |
Go-to-market motion1 record
Distribution channels3 records
Marketing channels6 records
Imubit product offering
Product offeringCore offering
Imubit provides a Closed-Loop AI Optimization (AIO) platform for process manufacturers in refining, petrochemicals, chemicals, cement, and mining. Its Optimizing Brain uses reinforcement learning to continuously adjust process controls in real time, operationalizing Coordinated Operating Strategies (COS) across roles, units, and constraints to improve margins, yields, and energy efficiency. The platform is delivered as a cloud-trained, on-premises-deployed enterprise software with multi-year subscriptions and supporting professional services.
Product overview
Imubit offers a unified Industrial AI Platform centered on Closed Loop AI Optimization (AIO) for process industries. The platform comprises the Optimizing Brain (reinforcement learning-powered closed-loop control), the Foundation Process Model (deep learning process modeling), and Deep Learning Process Control (DLPC) technology. The Dynamic Process Simulator provides operator training capabilities. The platform is deployed in a cloud-on-premises hybrid model: AI models are developed and trained in the cloud, then securely deployed within plant OT networks for real-time closed-loop optimization and control.
Differentiator
Problem solved
Functional benefit
Brands
- Optimizing Brain: AI-powered closed-loop optimization solution for process industries using reinforcement learning technology.
- Deep Learning Process Control (DLPC)
- Foundation Process Model
- Coordinated Operating Strategies (COS)
Products and services
- Industrial AI Platform Imubit's underlying enterprise AI platform for the process industries, providing cloud-based model development, training, and dynamic scenario simulation, with models deployed on-premises within plant OT networks to deliver closed-loop, real-time optimization. Targeted at enterprise process manufacturers seeking AI-driven operational excellence.
- Optimizing Brain Imubit's flagship closed-loop AI optimization solution powered by reinforcement learning. It continuously and autonomously adjusts process controls in real time to maximize margins, yields, and energy efficiency for process manufacturers.
- Foundation Process Model An evergreen deep learning asset that integrates massive plant data with engineering expertise to replace fragmented APC and LP models, break down silos across facilities, and enable continuous plant-wide optimization.
- Deep Learning Process Control (DLPC) Technology framework combining deep learning neural networks with reinforcement learning to establish dynamic process relationships and behavioral control that mimics expert operator functions for industrial process control.
Quantifiable outcome
- 15-30% reduction in natural gas usage
- +7 more outcomes
Companies that use Imubit
Customer profileNamed customers15 records
Segments5 records
Ideal customer profiles4 records
Imubit technology and API
TechnologyTechnology focussed Yes
API detail
- Has API
- No
- API docs
- API detail
Core technology
AI maturity
App detail
AI capability4 records
Feature5 records
Imubit partnerships and signals
Strategic signalPartnerships
Seven partnerships are on record, tiered core.
- KetjencorePartnership to deliver real-time AI-powered catalyst intelligence for FCC and hydroprocessing units. Combines Ketjen's catalyst expertise including proprietary models, laboratory data and technical analysis with Imubit's closed-loop digital platform. Available through Ketjen's iKet Connect portal. Pilot deployments underway in North America and Europe with expansion planned for additional sites in 2026.
- EvonikcoreAI pilot collaboration at Evonik's Singapore facility to evaluate advanced industrial AI applications. Open-loop initiative testing model-driven insights for operating strategy execution in a live production environment. Focus on real-time catalyst life insights and tightening collaboration between process and operations teams.
- PreemcorePartnership to deploy Imubit's Optimizing Brain solution at Preem's Lysekil refinery. AI technology will optimize the fluid catalytic cracking unit to maximize production efficiency, enhance yield profiles, and stabilize fuel gas balance. Supports Preem's goal of achieving net-zero GHG emissions throughout its value chain by 2035.
- Fuller Technologies (FLS Cement)coreChannel partner representing Imubit in the cement sector. Fuller Technologies extends Imubit's reach with domain expertise and localized service for cement and building materials customers.
- IST InternacionalcoreChannel partner extending Imubit's reach in Latin America and Spanish-speaking markets with localized domain expertise and customer relationships.
- InteccoreChannel partner providing operational depth and customer intimacy for large-scale deployments in their regional markets.
- Artificial Intelligence Global (AIGC)coreChannel partner with bilingual English and Arabic capabilities extending Imubit's reach in Middle East markets with AI and industrial expertise.
Scale indicators12 records
Recent moves7 records
Expansion highlights6 records
Imubit competitors and assessment
Company assessmentDirect peers
- Aspen Technology: AspenTech is the leading provider of asset performance management, process optimization, and industrial AI software for refining and chemicals — directly competing with Imubit's Optimizing Brain across the same customer base with APC, DMC, and AI-driven optimization modules.
Broad incumbents
- Honeywell Forge: Honeywell's Forge industrial AI platform includes Connected Plant, APC, and process optimization capabilities sold across the same refining and petrochemical customers Imubit serves. Honeywell has the advantage of installed DCS relationships and bundled offerings that compete head-to-head with Imubit's closed-loop AI.
- AVEVA: AVEVA provides industrial software including PI System historians, process simulation, and AI-driven optimization for process manufacturers. It competes with Imubit in refinery and chemical plant optimization through its broader portfolio of operational technology and digital twin offerings.
- Schneider Electric Industrial AI: Schneider Electric offers EcoStruxure and AI-driven process optimization solutions for industrial customers across refining, chemicals, cement, and mining. As a broad industrial automation incumbent with deep OT relationships, it competes with Imubit on integrated optimization offerings at large process operators.
- Siemens Industrial AI (Xcelerator / gPROMS): Siemens offers process industries software (gPROMS, COMOS) plus industrial AI capabilities through its Xcelerator platform, serving chemical, refining, and cement customers. Its installed base of automation systems positions it as a direct competitor to Imubit's closed-loop AI optimization in process manufacturing.
- GE Digital (Predix / APM): GE Digital provides asset performance management and industrial AI solutions for power, refining, and process industries, with deep relationships among large operators. Its Predix-derived analytics and broader digital industrial portfolio overlap with Imubit's optimization and predictive maintenance offerings.
- C3.ai: C3.ai provides enterprise AI applications including process optimization, predictive maintenance, and energy management for industrial customers. While not a deep specialist in refining process control, it competes for enterprise AI budgets at the same large operators Imubit targets.
Emerging players
- Braincube: Braincube is a SaaS industrial AI platform focused on manufacturing process optimization, particularly for batch and continuous process manufacturers. While its core focus on lighter process industries differs from Imubit's hydrocarbon-heavy base, it competes for similar AI-for-manufacturing budgets.
- SparkCognition: SparkCognition applies AI to industrial operations including energy and manufacturing, with offerings in predictive maintenance and process optimization. While its primary focus has been asset-intensive verticals like oil & gas upstream and energy, it overlaps with Imubit at the AI-for-process-industries layer.
- Augury: Augury provides AI-driven asset health and process optimization for manufacturing and industrial customers. While its focus on vibration-based machine health is narrower than Imubit's process control scope, it competes for the same industrial AI budget at process manufacturers.
Market position
Strengths4 records
Weaknesses4 records
Competitive moat5 records
Key risks6 records
Key highlights7 records
Customer concentration
Imubit social profiles
Digital presenceImubit compliance and trust
Trust signalCompliance2 records
Imubit financial estimates
Financial estimateRevenue estimate
Valuation estimate
Imubit leadership team
Management profileNumber of profiles
Profiles10 records
Imubit funding detail
Funding detailFunding overview
Funding rounds3 records
Investors4 records
Funding detail is available on the Subscription and Enterprise plan.Contact sales →
Imubit 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 Imubit
What does Imubit do?
Imubit provides a Closed-Loop AI Optimization (AIO) platform for process manufacturers in refining, petrochemicals, chemicals, cement, and mining. Its Optimizing Brain uses reinforcement learning to continuously adjust process controls in real time, operationalizing Coordinated Operating Strategies (COS) across roles, units, and constraints to improve margins, yields, and energy efficiency. The platform is delivered as a cloud-trained, on-premises-deployed enterprise software with multi-year subscriptions and supporting professional services.
Is Imubit a public or private company?
Imubit is a private company. It is classified as venture growth investor backed and is currently operating.
When was Imubit founded?
Imubit was founded in 2016. It employs 101 to 250 people.
Where is Imubit based?
Imubit is headquartered in Houston, United States, in the North America region.
How does Imubit make money?
Two revenue lines are on record. AI Optimization Platform Subscription is the primary driver. The others are professional Services.
Who are Imubit's main competitors?
Aspen Technology is listed as a direct peer. Broad incumbents are Honeywell Forge, AVEVA, Schneider Electric Industrial AI, Siemens Industrial AI (Xcelerator / gPROMS), GE Digital (Predix / APM) and C3.ai. Emerging players are Braincube, SparkCognition and Augury.
Does Imubit have an API?
No public API is recorded for Imubit.
What industry is Imubit in?
Imubit's product category is Industrial AI Process Optimization. Its primary akta.pro industry code is HDAEANAA, End-to-End Enterprise AI Platforms (MLOps & Model Lifecycle Management), with a secondary code of HDAEANAI, AI Integration & Orchestration Platforms (Connectors, Workflow, iPaaS for AI). Its NAICS code is 5132 and its SIC code is 7372.