INAIT

What INAIT does

INAIT is a Lausanne, Switzerland-based AI company founded by neuroscientist Henry Markram to commercialize "Digital Brain" technology — spiking neural network architectures derived from over two decades of simulation-neuroscience research, including the Brain Mind Institute, the Blue Brain Project, and the Human Brain Project. The company's core proposition is causal learning: instead of relying on correlations like conventional deep learning, INAIT's Digital Brains learn cause and effect from actions and consequences, accumulate skills with decreasing — not increasing — data and energy costs, and can learn continuously and remotely. The reference benchmark cited by the company is a digital brain learning to play Pong in under five minutes on a laptop CPU, reportedly over 100x more efficient than leading reinforcement-learning models.

The commercial product stack centers on the iAM (inait Adaptive Machines) Platform, which couples Digital Brains with modern AI components such as LLMs, CNNs, and GNNs to deliver vision, hearing, speech, knowledge, and reasoning capabilities deployable on cloud, device, or edge. Built on this platform are three product lines: FutureComplete (continuously learning timeseries forecasting, listed on the Microsoft Azure Marketplace with a freemium tier), Cognition (continuously learning AI for agents in digital environments), and Behavior (continuously learning AI for robots in physical environments). The company also offers bespoke Financial Services Industry (FSI) products co-developed with Microsoft, including a financial services AI co-pilot.

Go-to-market combines product-led growth (freemium on the Azure Marketplace), enterprise field sales targeting finance, robotics, and industrial manufacturing customers, and a 360-degree strategic collaboration with Microsoft covering co-selling, co-productization, and joint research. Revenue mechanics are predominantly subscription/recurring — platform licensing for iAM, SaaS for FutureComplete, and bespoke FSI contracts — though no revenue figures are publicly disclosed. The company is private, founded circa 2017, employs 11–50 people, and benefits from a flagship distribution and technology partnership with Microsoft and an ecosystem play through the Open Brain Institute (also founded by Markram).

Name

INAIT

Legal name

INAIT

Website

https://inait.ai

Company type

Private

Founded year

2017

Operating status

Operating

Headcount range

11–50 employees

Short description

INAIT is a Lausanne-based AI company building proprietary Digital Brain technology — spiking neural networks that learn cause and effect. Its iAM platform delivers forecasting, agent, and embodied AI products for finance, robotics, and industrial customers via Microsoft co-sell and Azure Marketplace.

Ownership category

akta.pro rank

Product category

Cognitive AI Software

NAICS

Software Publishers (5132), Computer Systems Design Services (541512)

SIC

Services-Prepackaged Software (7372), Services-Computer Programming Services (7371)

akta.pro primary industry

End-to-End Enterprise AI Platforms (MLOps & Model Lifecycle Management) (HDAEANAA)

akta.pro secondary industry

AI Application Enablement Platforms (Copilot/Agent Frameworks, SDKs) (HDAEANAJ)

Keywords

• Digital brain AI
• Adaptive intelligence software
• Neural network platform
• AI forecasting software
• Robotics AI platform

Headquarters

HQ city

Lausanne

HQ country

Switzerland

HQ region

Europe

Markets served

GTM type

B2B

Offering type

Software

Cost components

Technology or R&D, Personnel, Operations, Marketing or Sales, Infrastructure

Revenue model

1. iAM Platform Licensing: AI platform providing Digital Brain capabilities deployed on cloud, device or edge for enterprise customers across finance and robotics verticals.
2. FutureComplete SaaS: Time series forecasting SaaS solution available on Microsoft marketplace, offered as a free trial with potential conversion to paid subscription.
3. Bespoke FSI Products: Custom financial services products and services powered by iAM technology developed in collaboration with Microsoft for FSI market.

Pricing tiers

Go-to-market motion3 records

Distribution channels3 records

Marketing channels3 records

Core offering

INAIT builds AI software based on Digital Brain technology, a neural network architecture modeled on biological brain design that learns cause and effect and accumulates cognitive skills. It commercializes this through the inait Adaptive Machines (iAM) Platform and productized applications (FutureComplete for timeseries forecasting, Cognition for digital agents, and Behavior for physical robots), targeting finance and robotics verticals with deployment on cloud, device, or edge.

Product overview

INAIT offers a platform-plus-modules architecture centered on Digital Brain technology. The core iAM Platform (inait Adaptive Machines) serves as the foundational layer, transforming digital brain simulations into deployable spiking neural networks with continuous causal learning. Built on this platform are three specialized solutions: FutureComplete for timeseries forecasting and prediction, Cognition for agents in digital environments, and Behavior for robots in physical environments. The company also provides a Digital Brain Operating System as the neural network architecture. All offerings leverage Fusion AI, combining digital brains at the center with modern AI (including LLMs, CNNs, and GNNs) for sensory pre-processing, communication, and knowledge tasks.

Differentiator

Problem solved

Functional benefit

Brands

• FutureComplete: Continuously learning AI for timeseries forecasting - generating future trajectory of data with best-in-class accuracy, reliability, and explainability. Available on Microsoft Azure Marketplace.
• Cognition
• Behavior
• iAM (inait Adaptive Machines)

Products and services

• iAM Platform (inait Adaptive Machines) Platform for testing, benchmarking and quality assurance of AI with Digital Brains on customer data. Couples digital brains with modern AI (LLMs, CNNs, GNNs) for vision, hearing, speech and knowledge processing. Executes on cloud, device or edge and is positioned for enterprise deployment across industry verticals starting with finance and robotics.
• FutureComplete SaaS product providing continuously learning AI for timeseries forecasting. Generates the future trajectory of data with best-in-class accuracy, reliability and explainability. Available on the Microsoft Azure Marketplace.
• Cognition Continuously learning AI product for agents operating in digital environments, leveraging the iAM Platform and Digital Brain technology.
• Behavior Continuously learning AI product for robots operating in physical environments, enabling life-like interactions in complex, dynamic real-world settings.

Quantifiable outcome

• Masters Pong in under 5 minutes on a laptop CPU, winning after a few games
• +2 more outcomes

Segments3 records

Ideal customer profiles2 records

Technology focussed Yes

API detail

Has API

No

API docs

API detail

Core technology

AI maturity

App detail

AI capability9 records

Feature7 records

Partnerships

Two partnerships are on record, tiered flagship and core.

• MicrosoftflagshipStrategic or Co-development Partner360-degree strategic collaboration including cloud credits, co-productization, co-GTM strategy development, co-selling, access to cutting-edge computing, and joint research. Market access initiatives include bespoke FSI products and services powered by iAM (Financial services co-pilot), iAM system for industrial manufacturing, and bespoke iAM systems for other verticals. Leverages Azure platform and bespoke ecosystems.
• Open Brain InstitutecoreTechnology or IntegrationFounded by Henry Markram, the Open Brain Institute makes the recipe to explore, build and simulate digital brains accessible through Virtual Labs with AI natural language assistant. Provides access to code and equations developed by EPFL's Blue Brain Project, enabling the broader ecosystem to leverage digital brain technology.

Scale indicators6 records

Recent moves5 records

Expansion highlights5 records

Direct peers

• BrainChip Holdings: BrainChip develops neuromorphic processors and spiking neural network IP for edge AI. It is the closest direct peer to INAIT: both commercialize biologically inspired SNN architectures targeting low-power, continuously learning AI at the edge.
• Neurala: Neurala applies brain-inspired spiking neural networks to vision AI on edge devices for robotics and industrial customers. It targets the same robotics/edge inference use cases as INAIT's Behavior product.
• Numenta: Numenta is a neuroscience-based AI company built on Hierarchical Temporal Memory, founded by Jeff Hawkins. It shares INAIT's thesis that AI progress requires biologically grounded architecture rather than scaled correlation-based models.
• GrAI Matter Labs (GrAI.AI): GrAI Matter Labs builds neuromorphic, event-based AI processors for edge inference in robotics and IoT. It directly overlaps with INAIT's edge-deployed, low-latency, brain-inspired positioning and the same robotics customer base.

Broad incumbents

• DataRobot: DataRobot provides an end-to-end enterprise AI platform for building, deploying, and managing machine learning models. It competes with INAIT's iAM Platform in the MLOps and enterprise AI lifecycle category, particularly for finance use cases.
• H2O.ai: H2O.ai is an established enterprise AI platform vendor offering predictive analytics and MLOps. It overlaps with INAIT's forecasting and decision-intelligence use case in financial services and competes for similar line-of-business AI buyers.
• Google DeepMind: DeepMind is a leading AI research organization pursuing neuroscience-inspired architectures, embodied agents, and physical AI. It is a broad incumbent that competes with INAIT for the same long-term 'AGI/embodied intelligence' narrative and enterprise mindshare.
• Anthropic: Anthropic is a frontier AI lab building capable, safe foundation models that increasingly target enterprise and agentic workloads. It represents the broad 'foundation model' incumbent path that INAIT argues will hit scaling/efficiency limits, against which INAIT's causal/SNN approach is positioned.
• C3.ai: C3.ai delivers pre-built enterprise AI applications across verticals including financial services and industrial manufacturing. It directly overlaps with INAIT's vertical-focused go-to-market and provides a comparison point on enterprise AI pricing, scale, and credibility.
• IBM Research (watsonx): IBM has a long history of neuroscience-inspired AI research (TrueNorth neuromorphic chip, Watson) and now offers an enterprise AI platform (watsonx). It competes broadly with INAIT for enterprise AI budget and credibility, especially in regulated finance.

Market position

Strengths5 records

Weaknesses5 records

Competitive moat4 records

Key risks6 records

Key highlights7 records

Customer concentration

Revenue estimate

Valuation estimate

Number of profiles

Profiles1 record

Funding overview

Funding rounds

Investors

Funding detail is available on the Subscription and Enterprise plan.Contact sales →

M&A

Investments

M&A and investment is available on the Subscription and Enterprise plan.Contact sales →

Frequently asked questions about INAIT