Tensor
Tensor (TensorFive GmbH) is a Mainz, Germany-based enterprise AI software company founded in 2024 that offers proprietary RAG-based products for knowledge management, autonomous data analysis, and requirements management, serving DACH Mittelstand and regulated enterprises with GDPR-compliant On-Premise or EU-hosted deployment.
- Company typePrivate
- Founded2024
- HeadquartersCambridge, United Kingdom
- Headcount1–10
- GTM typeB2B
- OfferingSoftware
What Tensor does
Tensor (legally TensorFive GmbH) is a German enterprise AI software company headquartered in Mainz that develops a platform of Retrieval-Augmented Generation (RAG) products targeting knowledge management, autonomous data analysis, and requirements management for European enterprises. Founded in 2024 by former IT and AI consultants Jonas Bayer and Christian Betz, the company emerged from a recurring observation during consulting engagements at financial firms that valuable corporate knowledge was unstructured, dispersed, or locked in individual employees' heads. The platform is purpose-built for the German Mittelstand and other regulated organizations, differentiated by native DSGVO/GDPR compliance, Made-in-Germany data sovereignty, and On-Premise or EU-hosted deployment options.
The product portfolio comprises five offerings structured around a shared proprietary RAG technology stack with seven disclosed innovations, including Contextual Enrichment, Knowledge Graph with Vector Hybrid Search, and Neural Reranking (self-reported at 89% faithfulness). T5.Chat provides natural-language enterprise knowledge search across Microsoft 365, SharePoint, Confluence, SAP, Jira, and project files, returning answers with source citations in approximately 30 seconds. T5.Analytics operates as an autonomous AI data analyst that connects natively to Snowflake, BigQuery, Redshift, Databricks, MongoDB, Salesforce, and Microsoft Dynamics, enabling natural-language querying and auto-generated dashboards without SQL. T5.Requirements automates specification, tender, and ISO-standard document analysis at a claimed 720x faster than manual review at 0.06% of manual cost, with automatic gap analysis. The underlying RAG API is also offered as a standalone, fully documented REST API (api.t5knowledge.com) for developer and integrator use, and T5.Consulting delivers bespoke AI implementation and automation services.
The company runs a hybrid SaaS-plus-services go-to-market concentrated in the DACH region. Public pricing for the RAG API starts at €0.15 per 1k chunks for embedding, €0.60 for Contextual Enrichment, €4.00 for Knowledge Graph, and €0.30 per 1k requests for search and generation. Named customers include ING (anchor enterprise), JCNetwork, PetPlanner, Datenpuls, Digital Brand Academy, CarVisionConsulting, Schüberl Consulting, and Varify, with channel and community partners including IT-Klub Mainz & Rheinhessen, Interix Systeme, and vertrieb.de. The public dashboard reports €2.4M in Q4 2025 revenue with 12.3% quarter-over-quarter growth, an 87% new-customer rate, and a 94% retention rate, indicating early commercial traction on a very young baseline.
Tensor firmographics
Firmographics- Name
- Tensor
- Legal name
- TensorFive GmbH
- Website
- https://tensorfive.com
- Company type
- Private
- Founded year
- 2024
- Operating status
- Operating
- Headcount range
- 1–10 employees
- Short description
- Tensor (TensorFive GmbH) is a Mainz, Germany-based enterprise AI software company founded in 2024 that offers proprietary RAG-based products for knowledge management, autonomous data analysis, and requirements management, serving DACH Mittelstand and regulated enterprises with GDPR-compliant On-Premise or EU-hosted deployment.
- Ownership category
- akta.pro rank
Tensor industry classification
Industry- Product category
- Enterprise AI Software
- NAICS
- Software Publishers (5132), Custom Computer Programming Services (541511)
- SIC
- Services-Prepackaged Software (7372), Services-Computer Programming, Data Processing, Etc. (7370)
- akta.pro primary industry
- Retrieval-Augmented Generation (RAG), Vector Databases & Knowledge Grounding (HDAAACAE)
- akta.pro secondary industries
- Data App Builders (Forms, Portals & Internal Tools) (HDAEAKAK), LLMOps & Generative AI Platforms (Prompt/Agent Orchestration, RAG) (HDAEANAD), AI/ML Engineering & Model Development Services (BPAEAHAF)
Keywords
Where Tensor is headquartered
LocationHeadquarters
- HQ city
- Cambridge
- HQ country
- United Kingdom
- HQ region
- Europe
Markets served
Tensor business model
Business model- GTM type
- B2B
- Offering type
- Software
- Cost components
- Personnel, Technology or R&D, Marketing or Sales, Operations
Go-to-market motion2 records
Distribution channels1 record
Marketing channels2 records
Tensor product offering
Product offeringCore offering
TensorFive GmbH develops and sells enterprise AI software built on a proprietary Retrieval-Augmented Generation (RAG) platform. Its product suite includes T5.Chat for enterprise knowledge search across Microsoft 365, SharePoint, Confluence, SAP and project files; T5.Analytics for autonomous natural-language data analysis with automatic dashboard generation; T5.Requirements for AI-powered specification and tender document analysis; and a standalone RAG API offered as RAG-as-a-Service to developers and enterprises. All products are designed for DSGVO-compliant deployment with on-premise or EU-hosting options.
Product overview
TensorFive offers a platform-plus-modules architecture built on a proprietary RAG technology with 7 innovations. The core RAG API serves as the technical foundation for all products. T5.Chat provides enterprise knowledge search over Microsoft 365, SharePoint, Confluence, and SAP systems. T5.Analytics delivers autonomous data analysis with natural language interfaces and automatic dashboard generation. T5.Requirements accelerates specification and tender document analysis by 720x with intelligent gap analysis. T5.Consulting provides custom AI implementation services. All products are DSGVO-compliant with On-Premise and EU-Hosting deployment options, emphasizing data sovereignty for German and European enterprises.
Differentiator
Problem solved
Functional benefit
Brands
- T5.Chat: Enterprise AI knowledge search product that enables semantic search across company data sources including Microsoft 365, SharePoint, Confluence, SAP, and project files, delivering answers with source citations.
- T5.Analytics
- T5.Requirements
- RAG API
Products and services
- T5.Chat AI-powered enterprise knowledge search product that connects to Microsoft 365, SharePoint, Confluence, SAP, Jira, Google Drive, Notion, and project files, delivering natural language answers with source citations in approximately 30 seconds. Supports document generation workflows including email drafts, presentations, and reports with permission inheritance from source systems.
- T5.Analytics Autonomous AI data analyst that enables natural language querying without SQL knowledge. Automatically generates dashboards, monitors KPIs, detects anomalies, and provides actionable recommendations by connecting directly to Snowflake, Google BigQuery, Amazon Redshift, Databricks, MongoDB, Salesforce, and Microsoft Dynamics.
- T5.Requirements AI-powered requirements management software that analyzes specifications, standards, and tender documents 720x faster than manual processing at 0.06% of manual cost, with automatic gap analysis against ISO standards and reference documents.
- RAG API Enterprise RAG-as-a-Service REST API providing document ingestion, semantic search, and RAG generation endpoints. Powers all TensorFive products and is available as a standalone API for developers, with 7 proprietary innovations including Contextual Enrichment, Knowledge Graph with Vector Hybrid search, and Neural Reranking. Supports PDF, Word, Excel, PowerPoint, Markdown, and HTML; DSGVO-compliant with On-Premise or EU-Hosting deployment.
- T5.Consulting AI consulting and automation services providing customized AI solutions for enterprises, including strategy development, automated support workflows, document analysis, and process automation from analysis through implementation. Focus on German Mittelstand and enterprise companies.
Companies that use Tensor
Customer profileNamed customers1 record
Segments1 record
Ideal customer profiles2 records
Tensor technology and API
TechnologyTechnology focussed Yes
API detail
- Has API
- Yes
- API docs
- API detail
Core technology
AI maturity
App detail
Integration27 records
AI capability12 records
Feature4 records
Tensor partnerships and signals
Strategic signalPartnerships
Nine partnerships are on record, tiered core and supporting.
- ArmcoreTensor and Arm formed a multi-year partnership to develop a compute platform for Tensor's planned Level 4 autonomous Robocar. The platform will use over 400 ARM-based processor cores and is being developed with partners including NVIDIA, AMD, and Qualcomm.
- NVIDIAcoreNVIDIA is a technology partner in the development of Tensor's Level 4 autonomous Robocar compute platform, working alongside Arm, AMD, and Qualcomm.
- AMDcoreAMD is a semiconductor partner in the development of Tensor's autonomous Robocar compute platform.
- QualcommcoreQualcomm is a semiconductor partner in the development of Tensor's autonomous Robocar compute platform alongside NVIDIA and AMD.
- OraclesupportingOracle is listed as a technology partner for Tensor's Level 4 Robocar development, contributing infrastructure or cloud capabilities to the project.
- SonysupportingSony is listed as a technology partner for Tensor's Level 4 Robocar development alongside Nvidia and other semiconductor firms.
- VinFastcoreVinFast has a manufacturing partnership with Tensor for robocar programs. Tensor is developing Level 4 autonomous driving technology in partnership with VinFast as part of VinFast's vertically integrated EV strategy. The partnership combines VinFast's manufacturing capabilities with Tensor's AI and autonomous driving technology for personal Level 4 autonomous vehicles.
- Dubai Roads and Transport Authority (RTA)coreTensor received Federal approval from UAE's RegLab in partnership with Dubai's Roads and Transport Authority to test Level-4 fully autonomous personal vehicles in the UAE, authorizing testing activities in preparation for planned commercialization in 2026.
- Abu Dhabi Integrated Transport CentrecoreTensor received UAE RegLab approval in partnership with Abu Dhabi's Integrated Transport Centre to test Level-4 autonomous vehicles, reflecting the UAE government's commitment to enabling innovation in advanced mobility through defined regulatory frameworks.
Scale indicators3 records
Recent moves5 records
Expansion highlights6 records
Tensor competitors and assessment
Company assessmentRegional players
- Aleph Alpha: Aleph Alpha is a Heidelberg-based AI foundation model company focused on sovereign, EU-compliant enterprise AI deployments. It shares TensorFive's German data-sovereignty positioning and competes for European enterprise AI budgets in the same regulatory regime.
Emerging players
- Moveworks: Moveworks provides an enterprise AI copilot for IT, HR, and employee support, leveraging RAG over enterprise systems. While focused on support workflows rather than broad knowledge search, it competes with TensorFive for budget allocated to internal AI assistants.
- Writer: Writer is an enterprise generative AI platform for content generation, knowledge retrieval, and AI agents with proprietary models. It overlaps with TensorFive's RAG API / T5.Chat use cases for internal knowledge workflows, particularly in regulated industries.
- Coda (Coda Brain / AI): Coda offers collaborative workspaces with an embedded AI assistant (Coda Brain) that pulls from connected enterprise docs and SaaS apps. It competes with T5.Chat for knowledge-worker productivity budgets but lacks TensorFive's deep RAG customization and On-Premise option.
Direct peers
- Coveo: Coveo is an enterprise search and AI-relevance platform with vector search and RAG capabilities for customer support and knowledge management. It addresses the same enterprise semantic-search workload as TensorFive's RAG API and T5.Chat.
- Hebbia: Hebbia builds an AI 'knowledge worker' that ingests enterprise documents (PDFs, spreadsheets, contracts) and answers analytical questions via RAG. Its Matrix product parallels TensorFive's T5.Analytics and T5.Chat for institutional research, legal, and finance use cases.
- Sana (Sana Labs): Sana provides an AI-native learning and knowledge platform with enterprise RAG across documents, CRMs, and LMS systems. It is a direct comparable to TensorFive's enterprise knowledge-search proposition and has raised significant capital to compete in the same accounts.
- Glean Technologies: Glean is the leading enterprise AI search and knowledge platform, offering RAG-driven answers across M365, Salesforce, Slack, and other enterprise sources. It directly competes with TensorFive's T5.Chat and RAG API for the same enterprise buyer persona and use cases.
Broad incumbents
- Notion (Notion AI): Notion combines knowledge management, docs, and now embedded AI search/answer capabilities across enterprise wikis. It is a broader incumbent compared to TensorFive's deeper RAG-as-a-Service stack but competes for the same horizontal 'where does company knowledge live' budget.
- Microsoft (Copilot / M365 Copilot): Microsoft bundles enterprise AI search and RAG capabilities across M365, SharePoint, Teams, and Azure AI Search. It is the dominant incumbent against which all specialist RAG platforms — TensorFive included — must differentiate on deployment flexibility, data residency, or vertical workflow depth.
Market position
Strengths5 records
Weaknesses5 records
Competitive moat4 records
Key risks6 records
Key highlights7 records
Customer concentration
Tensor social profiles
Digital presenceTensor compliance and trust
Trust signalCompliance1 record
Tensor financial estimates
Financial estimateRevenue estimate
Valuation estimate
Tensor leadership team
Management profileNumber of profiles
Profiles3 records
Tensor funding detail
Funding detailFunding overview
Funding rounds
Investors
Funding detail is available on the Subscription and Enterprise plan.Contact sales →
Tensor 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 Tensor
What does Tensor do?
TensorFive GmbH develops and sells enterprise AI software built on a proprietary Retrieval-Augmented Generation (RAG) platform. Its product suite includes T5.Chat for enterprise knowledge search across Microsoft 365, SharePoint, Confluence, SAP and project files; T5.Analytics for autonomous natural-language data analysis with automatic dashboard generation; T5.Requirements for AI-powered specification and tender document analysis; and a standalone RAG API offered as RAG-as-a-Service to developers and enterprises. All products are designed for DSGVO-compliant deployment with on-premise or EU-hosting options.
Is Tensor a public or private company?
Tensor is a private company. It is classified as founder individual operated bootstrapped and is currently operating.
When was Tensor founded?
Tensor was founded in 2024. It employs 1 to 10 people.
Where is Tensor based?
Tensor is headquartered in Cambridge, United Kingdom, in the Europe region.
Who are Tensor's main competitors?
Aleph Alpha is listed as a regional player. Emerging players are Moveworks, Writer and Coda (Coda Brain / AI). Direct peers are Coveo, Hebbia, Sana (Sana Labs) and Glean Technologies. Broad incumbents are Notion (Notion AI) and Microsoft (Copilot / M365 Copilot).
Does Tensor have an API?
Yes. Enterprise-RAG-as-a-Service RESTful API providing document ingestion, semantic search, and RAG generation endpoints. Supports /v1/ingest for document upload (PDF, Word, Excel, PowerPoint, Markdown, HTML), /v1/search for semantic search with filtering and pagination, /v1/generate for RAG generation with streaming support, /v1/documents for document listing and status, /v1/documents/{id} for deletion, and /v1/graph for Knowledge Graph queries. DSGVO-compliant with On-Premise or EU-Hosting deployment options. Pay-as-you-go pricing starting at €0.15/1k chunks for embedding, €0.60 for Contextual Enrichment, €4.00 for Knowledge Graph, and €0.30/1k requests for search and generation. Developer documentation is at api.t5knowledge.com.
What industry is Tensor in?
Tensor's product category is Enterprise AI Software. Its primary akta.pro industry code is HDAAACAE, Retrieval-Augmented Generation (RAG), Vector Databases & Knowledge Grounding, with a secondary code of HDAEAKAK, Data App Builders (Forms, Portals & Internal Tools). Its NAICS code is 5132 and its SIC code is 7372.