MING Labs
MING Labs is a Munich-headquartered, bootstrapped enterprise AI agency building Hybrid Organisation and Agent Experience engagements — redesigning client operating models around named AI agents and making enterprise brands usable to AI agents — for European enterprises including Bosch, Siemens, MANN+HUMMEL, and Voith.
- Company typePrivate
- Founded2011
- HeadquartersMunich, Germany
- Headcount51–100
- GTM typeB2B
- OfferingServices
What MING Labs does
MING Labs is a Munich-headquartered, bootstrapped enterprise AI agency that has operated since 2011 under the same three founders (Matthias Roebel, Sebastian Mueller, Marc Seefelder) and delivers two integrated service pillars to large European enterprises: Hybrid Organisation (restructuring an enterprise's operating model around named AI agents as colleagues alongside humans, using the proprietary ABC Framework for role decomposition and a Comprehension Obligation governance clause) and Agent Experience (making enterprise brands discoverable, trustworthy, and transactable to AI agents through schema, structured data, and machine-callable endpoints for pricing, quoting, and booking).
The technology stack combines client-facing applied AI products — AI Product Finders (e.g., MANN+HUMMEL 3,000-SKU conversational selector), AI Companions (session-persistent assistants for Bosch and Nui), and AI Sales Enablement (buyer-context aggregation for Voith) — with two in-house venture products: Hyperize (an Agent Surface Engine that benchmarks enterprise brand visibility across ChatGPT, Perplexity, Claude, and Gemini and powers the free DAX 40 Agent Readiness Index) and a Knowledge Graph that grounds LLMs in structured enterprise truth (pricelists, test reports, expert rules). An Agent Formation Studio (browser-based wizard) productises MING Labs' own internal process for designing and deploying named agents. Integration reach includes CRM, email, messaging, analytics, product configurators, pricing engines, quote systems, and booking flows.
Commercially, MING Labs sells on a tiered professional-services pricing model — €9,500 half-day Hybrid Organisation workshop (entry point), €20–25K workshop-plus-first-agent build, and quote-based full transformation programmes — with a free Agent Readiness Score tool as a freemium lead-generation funnel. GTM is founder-led, with personal 24-hour inbound response and no BDR or sales team, supported by an Insights content engine. Logistics span offices in Munich (HQ), Berlin, Shanghai, Suzhou, Singapore, and New York City, with marquee enterprise customers including Bosch, Siemens, MANN+HUMMEL, Voith, Henkel, ZEISS, EnBW, TÜV SÜD, Wacker Chemie, Stöckli, Nui, Oikos Group, Johnson & Johnson, INSEAD, UOB, and IMI, and a self-reported 50+ enterprise client base and €50M+ in cumulative delivered contract value over fifteen years.
MING Labs firmographics
Firmographics- Name
- MING Labs
- Legal name
- MING Labs GmbH
- Website
- https://minglabs.com
- Company type
- Private
- Founded year
- 2011
- Operating status
- Operating
- Headcount range
- 51–100 employees
- Short description
- MING Labs is a Munich-headquartered, bootstrapped enterprise AI agency building Hybrid Organisation and Agent Experience engagements — redesigning client operating models around named AI agents and making enterprise brands usable to AI agents — for European enterprises including Bosch, Siemens, MANN+HUMMEL, and Voith.
- Ownership category
- akta.pro rank
MING Labs industry classification
Industry- Product category
- Enterprise AI Consulting & Digital Transformation Services
- NAICS
- Other Management Consulting Services (541618), Other Scientific and Technical Consulting Services (54169)
- SIC
- Services-Management Consulting Services (8742), Services-Computer Integrated Systems Design (7373)
- akta.pro primary industry
- Augmented Analytics & AI-Assisted BI (NLQ/NLG, Insights) (HDAEAMAD)
Keywords
Where MING Labs is headquartered
LocationHeadquarters
- HQ city
- Munich
- HQ country
- Germany
- HQ region
- Europe
Offices4 records
Markets served
MING Labs business model
Business model- GTM type
- B2B
- Offering type
- Services
- Cost components
- Personnel, Technology or R&D, Operations, Marketing or Sales
Revenue model
- Professional Services — Workshops: Half-day on-site Hybrid Organisation workshop priced at €9,500 (excl. VAT), including AI in Action session, concept paper, capacity model by role, and first agent specification. Entry-point engagement that qualifies and educates prospective clients.
- Professional Services — Agent Build & Deploy: Workshop plus design, build, and deployment of the first production agent over 2–4 weeks, priced at €20–25K (recommended tier). Includes team onboarding, training, and a 30/60/90 day roadmap.
- Professional Services — Full Transformation: Full Hybrid Organisation transformation programme including workshop, 3 agents designed and deployed, change management support, 90-day rollout programme, and quarterly review and iteration. Price on request, representing the high-value enterprise engagement.
- Agent Experience Engagements: Agent Experience engagements following the score-to-production four-step model: Score (free/paid assessment), Strategize (blueprint and roadmap), Build (Agent Experience Layer, typically 90 days), and Operate (ongoing monitoring and optimisation). Revenue model similar to professional services with tiered scoping.
- Venture — Hyperize: Hyperize is MING Labs' Agent Surface Engine venture. While primarily a product for enterprise clients, it represents a productised element of the business model. Not disclosed if revenue-generating or still in venture/build phase.
Pricing tiers
| Model | Billing | Price |
|---|---|---|
| Subscription | Multi-year contract | Half-day on-site workshop for Hybrid Organisation assessment |
| Subscription | Multi-year contract | Workshop plus first production agent design, build, and deployment |
| Subscription | Multi-year contract | Full Hybrid Organisation transformation programme |
| Freemium | Pay-as-you-go | Agent Readiness Score assessment |
Go-to-market motion3 records
Distribution channels1 record
Marketing channels5 records
MING Labs product offering
Product offeringCore offering
MING Labs is a boutique enterprise AI agency that designs, deploys, and operationalises AI agents for large enterprises. Its two core service pillars are Hybrid Organisation (redesigning internal operations around human-agent teams) and Agent Experience (making enterprise brands discoverable and actionable by external AI agents). Revenue comes from tiered professional-services engagements — workshops, agent build-and-deploy projects, and full transformation programmes — supplemented by two internal venture products (Hyperize, Knowledge Graph) and proprietary frameworks.
Product overview
MING Labs operates as a European enterprise AI agency with two core service pillars — Hybrid Organisation (internal AI agents as colleagues) and Agent Experience (external brand visibility to AI agents) — supported by proprietary frameworks (ABC Framework, Comprehension Obligation) and two venture products (Hyperize, Knowledge Graph). The product portfolio includes AI-native enterprise tools: AI Product Finders (conversational product recommendation for industrial catalogs), AI Companions (session-persistent contextual assistants), and AI Sales Enablement (pre-call buyer intelligence). Service offerings span workshops (€9,500 half-day entry point), Workshop + First Agent engagements (€20-25K), and full Hybrid Org Programmes. The company runs its own hybrid organisation as proof-of-concept, with agents (Lola, Cody, Martin, etc.) operating in production since January 2026 alongside three human founders. Agent Formation Studio provides a browser-based environment for agent design and deployment. Hyperize (Agent Surface Engine) powers both external client work and MING Labs' own Insights surface, with the DAX 40 Agent Readiness Index serving as industry benchmark.
Differentiator
Problem solved
Functional benefit
Products and services
- Hybrid Organisation Methodology and implementation service for deploying AI agents as autonomous team members alongside humans. Agents receive named roles, defined remits, and measurable outcomes. Built on the ABC Framework (A: judgment/relationships, B: structured expert work, C: routine operations) and Comprehension Obligation. For enterprise leaders responsible for operations, digital transformation, and AI adoption.
- Agent Experience Service opening three doors for brands: Discover (agents find you in AI answers), Trust (verified claims and structured data), and Act (machine-callable endpoints). Includes Agent Readiness Score diagnostic and Agent Surface architecture. For CMOs, heads of digital, and chief digital officers at enterprise brands.
- AI Product Finders Conversational AI product finder that guides users through complex selection or configuration requirements to the optimal product recommendation from large catalogs. Deployed at MANN+HUMMEL (3,000 SKUs), Stöckli (ski selection), and Oikos Group (CASAI prefab home advisor). Now built to be agent-accessible as well as human-facing.
- AI Companions Session-persistent AI companion that maintains context across interactions, remembers where users left off, and builds cumulative understanding over time. Deployed at Bosch (technical documentation companion) and Nui (window-system purchase decisions).
- AI Sales Enablement AI-powered sales preparation tool that aggregates buyer journey data (touchpoints, documents downloaded, questions asked) into pre-call briefings with context and talking points. Deployed at Voith. When the buyer is an agent, the same context becomes the API response.
- Hyperize Agent Surface Engine venture making brands visible and usable by AI agents. Platform tracks brand visibility across major AI systems for real purchase queries. Includes Agent Readiness Score, scanning fleet, DAX 40 Index, and Knowledge Graph infrastructure. For enterprise brand and digital teams.
- Knowledge Graph Enterprise knowledge architecture product that grounds LLMs in structured domain truth — pricelists, test reports, expert rules, compatibility databases. Enables industrial pricing in minutes rather than days. First enterprise deployment in production.
- Agent Formation Studio Browser-based environment for assembling, configuring, and managing AI agents. Includes step-by-step wizard (Identity, Agent context, JD, Foundations, Schedule, Review, Deploy), Skill Builder, Agent Analyzer, JD Analyzer modules, and live agent management dashboard. Offered to clients as part of the Hybrid Organisation engagement.
- Agent Readiness Score Free diagnostic tool scoring brand performance when AI agents search for products or services. Evaluates across 40+ criteria covering Discoverability, Completability, Actionability, and Evidence. Delivers a free report in 48 hours; used for prospecting and baseline assessment before full Agent Experience engagement.
Quantifiable outcome
- ~60%+ of structured routine automated — agents handle the structured routine that previously consumed ~40% of expert time
- +8 more outcomes
Companies that use MING Labs
Customer profileNamed customers16 records
Segments3 records
Ideal customer profiles3 records
MING Labs technology and API
TechnologyTechnology focussed Yes
API detail
- Has API
- No
- API docs
- API detail
Core technology
AI maturity
App detail
Integration8 records
AI capability10 records
Feature5 records
MING Labs partnerships and signals
Strategic signalScale indicators12 records
Recent moves6 records
Expansion highlights6 records
MING Labs competitors and assessment
Company assessmentDirect peers
- Tribe AI: Boutique AI/ML consultancy with a similar small-team, enterprise-focused delivery model. Tribe AI helps enterprises build and deploy AI solutions with hands-on engineering — directly comparable to MING Labs' Hybrid Organisation build engagements.
- Distyl AI: AI agent platform targeting Fortune 500 enterprises with consulting-led delivery for production AI agent deployment. Overlaps directly with MING Labs' Hybrid Organisation offering and enterprise transformation motion.
- Sierra: Builds and deploys AI agents for enterprise customer experience at large brands. Comparable as a specialist in production AI agent deployment with a consulting-plus-product model similar to MING Labs.
- Decagon: Enterprise AI agent platform focused on customer support and experience automation. Direct overlap with MING Labs' AI Companions and conversational AI deployment work for large enterprise clients.
Emerging players
- Writer: Full-stack enterprise AI agent platform combining proprietary models with deployment tooling. Comparable as an emerging productised alternative to MING Labs' AI Companion and Agent Formation Studio offerings.
Broad incumbents
- BCG X: BCG's technology build and design arm, offering scaled AI and digital transformation services to global enterprises. Broad incumbent competing for the same enterprise AI transformation mandates as MING Labs.
- McKinsey QuantumBlack: McKinsey's AI and analytics consulting arm serving global enterprises on AI strategy and implementation. Broad incumbent with vastly greater scale and existing C-suite access than MING Labs.
- Accenture: Global professional services firm with an extensive AI consulting practice and enterprise delivery capacity. Competes for large enterprise AI transformation mandates where MING Labs' boutique scale is a constraint.
- Deloitte: Global professional services firm with a deep AI consulting practice and established enterprise relationships. Broad incumbent offering overlapping AI strategy and implementation services across industries.
- Salesforce (Agentforce): Enterprise CRM platform with an integrated AI agent product (Agentforce) targeting the same enterprise buyers MING Labs serves. Broad incumbent using a productised SaaS model that competes with MING Labs' AI Companion and AI Sales Enablement work.
Market position
Strengths5 records
Weaknesses5 records
Competitive moat5 records
Key risks7 records
Key highlights7 records
Customer concentration
MING Labs social profiles
Digital presenceMING Labs compliance and trust
Trust signalCompliance2 records
MING Labs financial estimates
Financial estimateRevenue estimate
Valuation estimate
MING Labs leadership team
Management profileNumber of profiles
Profiles3 records
MING Labs funding detail
Funding detailFunding overview
Funding rounds
Investors
Funding detail is available on the Subscription and Enterprise plan.Contact sales →
MING Labs M&A and investment
M&A and investmentM&A
Investments2 records
M&A and investment is available on the Subscription and Enterprise plan.Contact sales →
Frequently asked questions about MING Labs
What does MING Labs do?
MING Labs is a boutique enterprise AI agency that designs, deploys, and operationalises AI agents for large enterprises. Its two core service pillars are Hybrid Organisation (redesigning internal operations around human-agent teams) and Agent Experience (making enterprise brands discoverable and actionable by external AI agents). Revenue comes from tiered professional-services engagements — workshops, agent build-and-deploy projects, and full transformation programmes — supplemented by two internal venture products (Hyperize, Knowledge Graph) and proprietary frameworks.
Is MING Labs a public or private company?
MING Labs is a private company. It is classified as founder individual operated bootstrapped and is currently operating.
When was MING Labs founded?
MING Labs was founded in 2011. It employs 51 to 100 people.
Where is MING Labs based?
MING Labs is headquartered in Munich, Germany, in the Europe region.
How does MING Labs make money?
Five revenue lines are on record. Professional Services — Workshops are the primary driver. The others are professional Services — Agent Build & Deploy, professional Services — Full Transformation, agent Experience Engagements and venture — Hyperize.
Who are MING Labs's main competitors?
Direct peers on record are Tribe AI, Distyl AI, Sierra and Decagon. Writer is listed as an emerging player. Broad incumbents are BCG X, McKinsey QuantumBlack, Accenture, Deloitte and Salesforce (Agentforce).
Does MING Labs have an API?
No public API is recorded for MING Labs.
What industry is MING Labs in?
MING Labs's product category is Enterprise AI Consulting & Digital Transformation Services. Its primary akta.pro industry code is HDAEAMAD, Augmented Analytics & AI-Assisted BI (NLQ/NLG, Insights). Its NAICS code is 541618 and its SIC code is 8742.