What Enjins does

Enjins B.V. is a Netherlands-based AI engineering consultancy founded in 2018 that builds production-grade machine learning and agentic AI systems for companies in the climate and energy sectors, plus a growing book of VC and PE investors. The firm operates from its Utrecht headquarters and a secondary hub at the Merantix AI Campus in Berlin, employing approximately 20 data engineers, ML architects, and AI engineers. Its delivery model is structured in three phases: a 3-week Design Sprint to prioritize use cases and produce an architecture blueprint, an Accelerator phase to deploy production systems on the client's cloud using pre-built assets, and a 12+ month Partnership for continuous capability and knowledge transfer to in-house teams.

The company's core technology consists of three pre-built assets — a Streaming Asset for real-time IoT and sensor data, an ML Ops Asset for scaling from a single model to 100+ production models, and a Multi-agent Asset for production agentic AI — deployed on customer-owned cloud infrastructure. Enjins also offers AI-Native VC and PE Operating Fabric products, which are multi-agent stacks with pre-built CRM and data integrations (Attio, HubSpot, Salesforce, PitchBook, Affinity, CompanyInfo, GainPro, Google Drive, SharePoint), plus a 7-day Tech & AI Due Diligence service for investor clients. Disclosed AI capabilities span predictive analytics, NLP, computer vision, recommender systems, anomaly detection, autonomous agents, generative AI with RAG, and optimization.

The business model is predominantly professional services — Design Sprint, Accelerator, and Partnership engagements — combined with productized AI operating fabrics for VC/PE funds. Pricing is not publicly disclosed and engagements are custom-scoped. Customer acquisition relies on direct enterprise sales via "Schedule a Call" CTAs and a VC/PE referral network built since 2018. The firm claims 100+ customer engagements and 300+ implemented AI use cases across four verticals: Energy & Electrification, Mobility & Transport, Climate Intelligence, and Buildings & Industry. Notable clients include Shypple, SnappCar, Next Sense, Groendus, Repowered, JustWatch, 247TailorSteel, Crisp, and Sendcloud. Strategic partnerships include LangChain for agentic AI tooling, and the company holds ISO/IEC 27001 certification.

Name

Enjins

Legal name

Enjins B.V.

Website

https://enjins.com

Company type

Private

Founded year

2018

Operating status

Operating

Headcount range

11–50 employees

Short description

Enjins is an Amsterdam-based AI engineering consultancy that builds production ML and agentic AI systems for European climate-tech companies and VC/PE investors, delivering via Design Sprint, Accelerator, and Partnership engagements using proprietary pre-built assets.

Ownership category

akta.pro rank

Product category

AI Engineering Services

NAICS

Computer Systems Design Services (541512)

SIC

Services-Computer Integrated Systems Design (7373)

akta.pro primary industry

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

akta.pro secondary industry

Integration Monitoring, Observability & AIOps for Integration (HDAEAIAH)

Keywords

• AI engineering services
• MLOps platform
• Agentic AI systems
• Climate tech AI
• AI due diligence

Headquarters

HQ city

Amsterdam

HQ country

Netherlands

HQ region

Europe

Offices2 records

Markets served

GTM type

B2B

Offering type

Services

Cost components

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

Revenue model

1. Professional Services - Design Sprint: 3-week intensive engagement to design prioritized use cases, launch working prototype, and create architecture blueprint.
2. Professional Services - Accelerator: Build and deploy production-ready data & AI systems on customer cloud infrastructure. Joint execution following design sprint rhythm.
3. Professional Services - Partnership: 12+ month collaborations building full AI capabilities across use cases, data infrastructure, and team. Includes knowledge transfer and in-house capability building.
4. Tech & AI Due Diligence Services: Technical assessment for VC investors covering product roadmap, infrastructure, tech & AI moat, and team evaluation. Delivered within 7 days for VC deal timelines.

Go-to-market motion1 record

Distribution channels2 records

Marketing channels5 records

Core offering

Enjins is an AI engineering consultancy that builds production-grade data, machine learning, and agentic AI systems for climate and energy companies through a three-phase engagement (Design Sprint, Accelerator, Partnership). It complements delivery with three reusable pre-built assets (Streaming, ML Ops, Multi-Agent) and packages AI-Native operating fabrics plus Tech & AI Due Diligence for venture capital and private equity investors.

Product overview

Enjins is an AI engineering consultancy serving the climate and energy sectors with three core service phases (Design Sprint, Accelerator, Partnership) and a portfolio of pre-built solutions (Streaming Asset, ML Ops Asset, Multi-Agent Asset). For investors, they offer AI-Native operating fabrics with pre-built agentic systems for VC and PE operations, plus Tech & AI Due Diligence services. The company operates across climate tech verticals including Energy & Electrification, Mobility & Transport, Climate Intelligence, and Buildings & Industry. Enjins' AI-Native VC/PE stacks feature a MCP layer for monitoring and compliance, and an agentic layer with specialized agents for sourcing, due diligence, reporting, and workflow automation. The pre-built assets bundle proven code libraries and frameworks that enable faster deployment compared to custom development. The platform integrates with major CRM systems (Attio, HubSpot, Affinity, Salesforce), file systems (Google Drive, SharePoint), and company data providers (CompanyInfo, PitchBook, GainPro).

Differentiator

Problem solved

Functional benefit

Products and services

• Design Sprint
• Accelerator
• Partnership
• Tech & AI Due Diligence
• AI-Native VC Operating Fabric
• AI-Native PE Operating Fabric
• PortCO MVP Building
• Streaming Asset
• ML Ops Asset
• Multi-Agent Asset

Quantifiable outcome

• 80% process improvement in manual document handling for logistics companies
• +6 more outcomes

Named customers15 records

Segments6 records

Ideal customer profiles3 records

Technology focussed Yes

API detail

Has API

No

API docs

API detail

Core technology

AI maturity

App detail

Integration9 records

AI capability13 records

Feature4 records

Partnerships

One partnership is on record.

• LangChaincoreTechnology or IntegrationJoint live demo sessions on building multi-agent systems in production. Enjins engineers joined LangChain representatives for technical demonstrations on agent development, climate tech applications, and live builds. Partnership showcases Enjins' agentic AI capabilities using LangChain's open-source frameworks (LangChain, LangGraph, deep agents) and LangSmith for observability.

Scale indicators6 records

Recent moves6 records

Expansion highlights6 records

Broad incumbents

• Thoughtworks: Global technology consultancy with deep AI/ML engineering and MLOps practices. Larger and broader than Enjins but competes for the same enterprise AI engineering engagements and operates in Europe.
• Capgemini Engineering: Large global systems integrator with significant AI engineering, data platform, and sustainability offerings. Competes for enterprise climate-tech and energy AI programs where Enjins is bidding, particularly with energy majors.
• BCG GAMMA: BCG's data science and AI engineering arm combining strategy consulting with hands-on ML delivery. Overlaps with Enjins' AI-Native PE Operating Fabric and PE portfolio value-creation motions.
• Deloitte AI & Data: Big Four AI engineering practice serving large European enterprises across energy, mobility and industrials. Competes for AI strategy + implementation mandates that Enjins targets with its Design Sprint.

Direct peers

• Xebia: Dutch-headquartered digital and AI engineering consultancy operating across cloud, data, and ML with similar European mid-market and enterprise clients. Overlaps directly with Enjins' Design Sprint → Accelerator → Partnership motion.
• Faculty AI: UK-based applied AI consultancy delivering production ML and LLM systems for enterprises. Comparable offering structure (strategic advisory through to production engineering) and similar client profile of regulated, data-rich enterprises.
• ML6: Amsterdam/Belgian AI engineering consultancy with comparable size, similar services (MLOps, GenAI, data engineering) and a comparable European enterprise and scale-up client base. Closest head-to-head competitor in the Benelux AI services market.

Regional players

• Insights: Netherlands-based data and AI consultancy with comparable mid-market and scale-up client profile. Direct regional competitor for AI engineering services in the Dutch market.

Emerging players

• Cervest: Climate intelligence platform using AI for climate risk and asset-level physical-risk modeling. Adjacent rather than directly competitive, but operates in the same climate-tech AI buyer set Enjins serves.

Others

• Databricks Consulting Partners (e.g., Celebal, Tredence): Large ecosystem of system integrators and boutique consultancies that implement Databricks-based ML and data platforms. Enjins operates in the same ML/MLOps tooling stack and competes for adjacent enterprise data-platform work.

Market position

Strengths5 records

Weaknesses5 records

Competitive moat5 records

Key risks7 records

Key highlights7 records

Customer concentration

• LinkedInlinkedin.com/company/enjins

Compliance1 record

Revenue estimate

Valuation estimate

Number of profiles

Profiles21 records

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 Enjins