KNiT
KNiT is an Osaka-based AI company that operates GeXeL, a cloud-based image analysis SaaS using pre-trained instance segmentation models to extract geometric parameters from microscope images for researchers and engineers in materials, chemicals, manufacturing, food, cosmetics, and medical imaging.
- Company typePrivate
- Founded2023
- HeadquartersOsaka, Japan
- Headcount—
- GTM typeB2B
- OfferingSoftware
What KNiT does
KNiT Co., Ltd. (株式会社KNiT) is an Osaka-based, privately held Japanese company founded in July 2023 by Masataka Kubouchi, who holds a PhD in Applied Physics from Tohoku University and previously worked at AIST and a major chemical manufacturer. The company sells GeXeL (ジクセ), a cloud-based AI image analysis SaaS targeting researchers and engineers in materials science, chemicals, manufacturing, food, cosmetics, and medical imaging. GeXeL is built on proprietary pre-trained instance segmentation models that extract 90+ geometric parameters (count, size, shape, color, circular equivalent diameter, aspect ratio, circularity, orientation, aggregation rate) from microscope images (SEM/TEM/optical) without requiring users to collect training data or possess AI expertise. The platform added Bayesian optimization and quantitative visualization features in May 2026, enabling multi-objective experimental condition recommendation with 95% confidence intervals.
KNiT monetizes through three streams: (1) GeXeL SaaS subscriptions at ¥50,000–¥200,000/month with optional spot/occasional usage and no initial fees; (2) entrusted analysis services (受託解析) for customers restricted from cloud or requiring video analysis; and (3) custom AI development projects spanning gem appraisal, ophthalmology imaging, hair diagnosis, process informatics, food quality prediction, liquid bubble tracking, and 3D CT analysis. Go-to-market is product-led with a free trial funnel, supplemented by direct inquiry handling for enterprise and academic customers. Distribution is digital-first via the multilingual website (JP/EN/中) and currently concentrated in Japan.
The customer base includes more than 100 entities spanning major Japanese manufacturers (Daikin, Komatsu, GS Yuasa, Toyo Aluminum, Fuso Chemical, Ezaki Glico, Nakano Seiyaku, Tsukishima Kikai) and universities (Kyoto, Tohoku, Hiroshima, Kobe). The company has raised ¥40,000,000 in seed funding from HERO Impact Capital (Feb 2024), is backed by ¥6,000,000 in registered capital, and has earned regional recognition including first place at the 19th Osaka Entrepreneurs Growing Up competition (Dec 2023) and Osaka Top Runner Cultivation Business certification (Sept 2024). Technical advisors include two associate professors from the University of Hyogo.
KNiT firmographics
Firmographics- Name
- KNiT
- Legal name
- 株式会社KNiT (Kabushiki Kaisha KNiT)
- Website
- https://knit-itech.co.jp
- Company type
- Private
- Founded year
- 2023
- Operating status
- Operating
- Short description
- KNiT is an Osaka-based AI company that operates GeXeL, a cloud-based image analysis SaaS using pre-trained instance segmentation models to extract geometric parameters from microscope images for researchers and engineers in materials, chemicals, manufacturing, food, cosmetics, and medical imaging.
- Ownership category
- akta.pro rank
KNiT industry classification
Industry- Product category
- AI Image Analysis Software
- NAICS
- Custom Computer Programming Services (541511), Software Publishers (5132)
- SIC
- Services-Computer Integrated Systems Design (7373)
- akta.pro primary industry
- AI/ML Engineering & Model Development Services (BPAEAHAF)
- akta.pro secondary industries
- Model Serving, Inference & Deployment Platforms (APIs, Edge/On-Prem) (HDAEANAC), Medical Imaging AI (HDAAAEAH)
Keywords
Where KNiT is headquartered
LocationHeadquarters
- HQ city
- Osaka
- HQ country
- Japan
- HQ region
- Asia
Offices1 record
Markets served
KNiT business model
Business model- GTM type
- B2B
- Offering type
- Software
- Cost components
- Personnel, Technology or R&D, Marketing or Sales, Operations, Infrastructure
Revenue model
- GeXeL SaaS Subscription: Monthly subscription-based access to GeXeL AI image analysis service. Pricing tiers based on number of images analyzed, ranging from 50,000 to 200,000 JPY per month. No initial cost required. Supports both recurring monthly usage and spot/occasional usage for lower-frequency users.
- Entrusted Analysis Services (受託解析): For customers who cannot use cloud services or require video analysis, KNiT offers custom analysis services where the company performs the analysis on behalf of the client. This professional services offering complements the self-service SaaS product.
- Custom AI Development: Original AI application development services leveraging proprietary image analysis, machine learning, and LLM technologies. KNiT supports clients from idea consultation through development and operation, providing full-cycle AI system development for various industries.
Pricing tiers
| Model | Billing | Price |
|---|---|---|
| Subscription | Monthly | Starting plan at ¥50,000/month |
| Unit Pricing | Monthly | Nanomaterial determination service |
Go-to-market motion1 record
Distribution channels4 records
Marketing channels5 records
KNiT product offering
Product offeringCore offering
KNiT develops and sells GeXeL, a cloud-based AI image analysis SaaS service for researchers and engineers. Using pre-trained instance segmentation AI models, GeXeL processes microscope images (SEM, TEM, optical) to extract 90+ quantitative geometric parameters (particle count, size, shape, color, circularity, orientation) without requiring AI expertise or training data. The company also offers custom AI application development and entrusted analysis services for clients needing specialized image-based AI systems or who cannot use cloud services.
Product overview
KNiT operates two core offerings: the AI image analysis service GeXeL and custom AI application development services. GeXeL is a cloud-based SaaS platform that provides pre-trained AI models for instance segmentation of microscope images, allowing users to upload images and obtain quantitative geometric parameters without AI expertise. The platform offers image analysis capabilities including particle detection, bubble analysis, cuticle segmentation, and nanomaterial classification. Custom AI development provides industry-specific AI systems including gem appraisal, medical imaging, hair diagnosis, process informatics, food quality prediction, video bubble tracking, and 3D CT analysis. The company also offers contracted analysis services for customers with cloud or video analysis needs.
Differentiator
Problem solved
Functional benefit
Brands
- GeXeL (ジクセル): AI image analysis service for researchers and engineers, offering features including image segmentation, geometric parameter extraction (particle count, size, shape, color), Bayesian optimization, and analysis visualization. Available from 50,000 yen per month with no initial costs.
- GeXeL Analysis
- GeXeL Bayesian Optimization
Products and services
- GeXeL (ジクセル) AI image analysis SaaS that uses pre-trained instance segmentation models to extract 90+ quantitative geometric parameters (count, size, shape, color, circular equivalent diameter, aspect ratio, circularity, orientation, aggregation rate) from SEM, TEM, and optical microscope images. Designed for researchers and engineers in materials, chemicals, food, cosmetics, and medical sectors who need immediate analysis without AI expertise or training data, with integrated Bayesian optimization and one-click PPT/Excel export. Available from ¥50,000/month with no initial costs.
- Entrusted Analysis Services (受託解析サービス) Professional image analysis service where KNiT performs the analysis on behalf of clients who cannot use cloud-based services, need video analysis, or require specialized handling. Includes consultation, dedicated inquiry handling, and direct execution of image analytics workloads.
- Custom AI Application Development (AIアプリ開発) End-to-end bespoke AI system development service using KNiT's image analysis, machine learning, and LLM technology. Delivers industry-specific AI systems such as AI gem appraisal, ophthalmology medical image analysis, hair condition analysis, process informatics platforms, food texture/quality prediction AI, video bubble tracking systems, and CT image 3D structural analysis. Supports clients from idea consultation through deployment and ongoing operation.
Quantifiable outcome
- 90% reduction in routine research work
- +3 more outcomes
Companies that use KNiT
Customer profileNamed customers12 records
Segments5 records
Ideal customer profiles3 records
KNiT technology and API
TechnologyTechnology focussed Yes
API detail
- Has API
- No
- API docs
- API detail
Core technology
AI maturity
App detail
AI capability6 records
Feature5 records
KNiT partnerships and signals
Strategic signalPartnerships
One partnership is on record.
- Polymerize LLCkey strategic partnershipBusiness partnership effective February 2, 2026, focused on image analysis for the materials and chemical industries. The collaboration enables joint proposals of data analysis workflows that extract and quantify high-precision features from unstructured data such as microscope images, using them as training data for machine learning models to support data-driven R&D decision-making in the materials and chemical sectors.
Scale indicators5 records
Recent moves6 records
Expansion highlights5 records
KNiT competitors and assessment
Company assessmentDirect peers
- Landing AI: Landing AI's LandingLens is a SaaS computer vision platform providing pre-trained models and model-assisted training for industrial inspection and scientific imaging. Comparable to KNiT because both sell a vision-AI-as-service product targeting manufacturers and R&D teams, with an emphasis on no-code training and rapid deployment in non-AI-expert customer environments.
- Aivia (Carl Zeiss Microscopy): Aivia is a microscopy image analysis platform combining AI-based segmentation with visualization for biological and materials microscopy workflows. Comparable to KNiT because both target microscope image analysis (SEM/TEM/optical) with AI-driven instance segmentation, particle quantification, and 3D visualization for scientific researchers.
- Roboflow: Roboflow offers a cloud-based computer vision platform with pre-trained models, dataset tools, and deployment APIs targeted at industrial and enterprise users. Comparable to KNiT because both provide domain-tuned image analysis SaaS accessible to non-AI-experts, with usage-based pricing and integration into production systems.
- Clarifai: Clarifai is an enterprise computer vision AI platform offering pre-trained models and a model workflow/deployment stack for production use. Comparable to KNiT because both offer AI image analysis as a managed service for non-AI-expert enterprise customers in industrial and commercial domains.
- Encord: Encord provides an end-to-end computer vision data and model platform, including labeling, curation, and evaluation tools for production vision AI teams. Comparable to KNiT because both address enterprise users who need to operationalize image analysis pipelines, with overlapping focus on scientific and industrial data workflows.
- Polymerize: Polymerize is a materials informatics platform that uses experimental and image-derived data to drive materials R&D decisions, and is also KNiT's named joint GTM partner. Comparable to KNiT because both serve materials and chemical R&D teams, complement image analysis with Bayesian optimization, and target the same Japanese/global materials informatics opportunity.
- Imaris (Oxford Instruments / Bitplane): Imaris is a scientific 3D/4D image analysis software suite used by researchers for microscopy image visualization and quantification. Comparable to KNiT because both serve research scientists who need AI-assisted segmentation and quantification of microscope images for materials and life sciences applications.
Emerging players
- Meta AI Segment Anything (SAM): SAM and SAM 2 are Meta's open-source foundation models for promptable and video image segmentation. Comparable to KNiT as a free, rapidly improving alternative for instance segmentation in scientific images, with potential to compress the value of KNiT's proprietary pre-trained models for less-demanding use cases.
Broad incumbents
- Scale AI: Scale AI provides data labeling, curation, and evaluation infrastructure for computer vision and generative AI applications across industries. Comparable to KNiT in addressing the upstream data needs of enterprise vision AI workflows, particularly for industrial and scientific customers building production-grade image analysis systems.
- AWS Rekognition: AWS Rekognition is a hyperscaler computer vision API covering detection, segmentation, and analysis of images and video. Comparable to KNiT as a broad incumbent offering image analysis as a cloud service; overlaps with KNiT's general visual analysis capability, but lacks KNiT's deep specialization for scientific/microscope image workflows.
Market position
Strengths5 records
Weaknesses1 record
Competitive moat5 records
Key risks6 records
Key highlights7 records
Customer concentration
KNiT financial estimates
Financial estimateRevenue estimate
Valuation estimate
KNiT leadership team
Management profileNumber of profiles
Profiles3 records
KNiT funding detail
Funding detailFunding overview
Funding rounds
Investors
Funding detail is available on the Subscription and Enterprise plan.Contact sales →
KNiT 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 KNiT
What does KNiT do?
KNiT develops and sells GeXeL, a cloud-based AI image analysis SaaS service for researchers and engineers. Using pre-trained instance segmentation AI models, GeXeL processes microscope images (SEM, TEM, optical) to extract 90+ quantitative geometric parameters (particle count, size, shape, color, circularity, orientation) without requiring AI expertise or training data. The company also offers custom AI application development and entrusted analysis services for clients needing specialized image-based AI systems or who cannot use cloud services.
Is KNiT a public or private company?
KNiT is a private company. It is classified as venture growth investor backed and is currently operating.
When was KNiT founded?
KNiT was founded in 2023.
Where is KNiT based?
KNiT is headquartered in Osaka, Japan, in the Asia region.
How does KNiT make money?
Three revenue lines are on record. GeXeL SaaS Subscription is the primary driver. The others are entrusted Analysis Services (受託解析) and custom AI Development.
Who are KNiT's main competitors?
Direct peers on record are Landing AI, Aivia (Carl Zeiss Microscopy), Roboflow, Clarifai, Encord, Polymerize and Imaris (Oxford Instruments / Bitplane). Meta AI Segment Anything (SAM) is listed as an emerging player. Broad incumbents are Scale AI and AWS Rekognition.
Does KNiT have an API?
No public API is recorded for KNiT.
What industry is KNiT in?
KNiT's product category is AI Image Analysis Software. Its primary akta.pro industry code is BPAEAHAF, AI/ML Engineering & Model Development Services, with a secondary code of HDAEANAC, Model Serving, Inference & Deployment Platforms (APIs, Edge/On-Prem). Its NAICS code is 541511 and its SIC code is 7373.