Opinov8
London-headquartered AI and software engineering firm embedding AI across the full engineering lifecycle.
What is Opinov8?
Opinov8 Digital and Engineering Solutions is a London, UK-headquartered firm founded in 2017, with 200 to 300 professionals across Europe, the Americas, and MENA. Opinov8 blends software engineering, cloud, data, and AI expertise, positioning AI as a foundation of its delivery process rather than an add-on feature. The company was honored as Best AI Company in Europe by The Netty Awards, per company website; independently unverifiable.
Opinov8 was founded in 2017 and is headquartered in London, UK. The firm employs 201–500 people and works primarily with clients in Fintech, Enterprise, Healthcare, Retail sectors. Its primary differentiator is: AI treated as a foundational layer across the entire engineering lifecycle, not a bolt-on service.
Opinov8 tech stack and services
| Service area |
|---|
| ML Development |
| AI Consulting |
| Data Engineering |
| MLOps |
Opinov8 use cases
Short answer: Opinov8 is best suited for enterprises and startups, AI across cloud engineering.
| Use case |
|---|
| Embedding ML capabilities into an existing enterprise cloud platform |
| AI-augmented software modernization programmes |
| MLOps infrastructure for a scaling fintech product |
| Multi-region delivery for globally distributed teams |
Opinov8 pricing
Short answer: Opinov8 uses a fixed project, dedicated team, staff augmentation pricing approach. Minimum engagement starts at $30K.
| Engagement model | Typical range | Best for |
|---|---|---|
| Fixed project | From $30K | Well-defined scope |
| Dedicated team | Variable; depends on team size | Large programmes or team augmentation |
| Staff augmentation | Variable; depends on team size | Large programmes or team augmentation |
Opinov8 pros and cons
| Advantages | Things to consider |
|---|---|
| +200 to 300 person team spans multiple regions, including Europe, the Americas, and MENA, for global coverage | -Broader cloud and software engineering scope means ML is one service line among several |
| +AI integrated into a broader cloud and software engineering practice, useful for full-stack programmes | -Award recognition is self-reported by the company and not independently verifiable |
| +Industry recognition including a Netty Award for Best AI Company in Europe, per company website | -Higher minimum engagement size than boutique ML-only specialists |
| +Founded in 2017 with steady growth into a mid-size, multi-region firm |
Opinov8 vs alternatives
How Opinov8 compares to the other top Machine Learning Development companies.
| Company | Best for | Key difference | Rating | Compare |
|---|---|---|---|---|
| Tensorway | Startups and mid-market, senior dedicated ML team. | a full-stack ML delivery team (data science, MLOps, QA) inherited from an established parent software company, at boutique-agency pricing. | 4.9 | Full comparison |
| ML6 | Enterprises, production MLOps at scale. | Official OpenAI Services Partner status combined with over a decade of pure-play ML engineering focus | 4.7 | Full comparison |
| Alexander Thamm | DACH manufacturers, AI strategy plus ML delivery. | Deep specialization in industrial and automotive ML use cases across the German Mittelstand | 4.6 | Full comparison |
| Kineo.ai | Mid-market EU businesses, lean AI consulting. | All-Germany team of AI consultants focused specifically on operational-efficiency ML use cases | 4.6 | Full comparison |
| DataRoot Labs | Startups and SMBs, lean ML team, competitive rates. | Founder-led, unfunded boutique with nearly a decade of focused custom ML delivery experience | 4.5 | Full comparison |
| Twistag | Growth-stage brands, senior-only AI agent builds. | Senior-only engineering team with a client roster including well-known global brands | 4.5 | Full comparison |
| Preste | EU companies, custom CV/NLP, French presence. | Dual Paris and Kyiv structure pairing French market presence with dedicated computer vision and NLP engineering delivery | 4.4 | Full comparison |
| STX Next | Companies wanting ML plus large-scale Python engineering. | One of Europe's largest dedicated Python engineering companies, with ML and data practices built on that scale | 4.3 | Full comparison |
| Neoteric | Mid-market companies, gen-AI PoC to production. | Two-decade-old Polish software house with a dedicated generative AI practice and a US-facing New York office | 4.3 | Full comparison |
| Tooploox | Hard ML/AI research-engineering problems. | Research-grade ML engineering with peer-reviewed academic recognition at ECCV 2024, alongside client delivery | 4.3 | Full comparison |
| FELD M | EU enterprises, long-established multi-country AI consulting. | Over two decades of operating history since founding in 2002, with organic growth into a five-office pan-European practice | 4.2 | Full comparison |
| WeAreBrain | Companies wanting AI within digital product builds. | Digital product agency DNA combined with a dedicated AI, ML, and intelligent automation practice | 4.2 | Full comparison |
| DATAFOREST | Small/mid-market, data engineering plus ML analytics. | Combined data engineering (ETL) and ML analytics practice with a growing review base | 4.1 | Full comparison |
| Probayes | Automotive, defense, finance — Bayesian modeling expertise. | Over two decades of specialization in Bayesian AI and predictive analytics, predating the current ML and AI boom | 4.1 | Full comparison |
| Digica | Regulated industries, ML plus embedded systems. | Combines ML model development with embedded systems and IoT engineering for regulated hardware-adjacent industries | 4.1 | Full comparison |
| Imaginary Cloud | Companies wanting ML plus strong product design. | Design-led software development studio with AI positioned as a first-class capability, not an afterthought | 4.0 | Full comparison |
| N-iX | Enterprises, ML bundled with large-scale engineering. | Over two decades of engineering scale, over 1,000 staff, with an EU-registered legal entity in Malta | 4.0 | Full comparison |
| Gemmo | Companies wanting a structured, staged AI engagement. | Structured three-phase engagement model of Pathfinder, Implementation, and Optimization, rather than an open-ended consulting retainer | 4.0 | Full comparison |
| Plain Concepts | Azure-standardized enterprises, certified Microsoft AI partner. | Deep Azure-native AI and ML delivery credentials as a Microsoft Gold and AI Partner, plus mixed reality expertise | 3.9 | Full comparison |
| Edvantis | Enterprises, EU-registered nearshore ML engineering. | EU legal registration in Poland combined with substantial delivery scale across Ukraine and Germany | 3.9 | Full comparison |
| CodeLeap | Early-stage startups, fast founder-friendly AI features. | Founder-friendly, speed-oriented delivery model built specifically for startup-stage product timelines | 3.9 | Full comparison |
| High-Tech Systems & Software | Healthcare orgs, AI bundled with healthcare software. | Deep healthcare-sector software specialization in supply chain and telemedicine, with AI and ML layered on top | 3.8 | Full comparison |
| DEPT | Large brands, ML-driven marketing personalization at scale. | Proprietary AI marketing platform, Ada, and global scale of over 4,000 specialists across 30-plus offices, unmatched by any other firm on this list | 4.0 | Full comparison |
| Software Mind | Enterprises, ML bundled with multi-region engineering. | Over 25 years of operating history and enterprise-scale delivery capacity across three continents | 3.8 | Full comparison |
| Innowise | Enterprises, low-cost nearshore staff augmentation with AI. | Very large delivery scale and broad geographic reach, positioned for volume staff augmentation over specialist ML depth | 3.8 | Full comparison |
| BJSS | UK public sector, enterprise-grade AI, proven consultancy. | Over three decades of operating history and deep specialization in regulated, complex enterprise environments | 3.8 | Full comparison |
| Siili Solutions | Nordic/EU enterprises, publicly listed IT consultancy. | Publicly traded on Nasdaq Helsinki, offering financial transparency uncommon among privately held ML firms | 3.7 | Full comparison |
| SDG Group | Large enterprises, ML analytics within BPM programmes. | Three decades of management consulting heritage applied to enterprise-scale analytics and AI programmes | 3.7 | Full comparison |
| Transparity | UK Azure enterprises, certified Microsoft AI partner. | Proprietary AI Factory framework built specifically around Microsoft Azure and Copilot technologies | 3.7 | Full comparison |
Opinov8 FAQ
What is Opinov8?
Opinov8 Digital and Engineering Solutions is a London, UK-headquartered firm founded in 2017, with 200 to 300 professionals across Europe, the Americas, and MENA. Opinov8 blends software engineering, cloud, data, and AI expertise, positioning AI as a foundation of its delivery process rather than an add-on feature. The company was honored as Best AI Company in Europe by The Netty Awards, per company website; independently unverifiable.
How much does Opinov8 charge?
Opinov8 uses fixed project, dedicated team, staff augmentation pricing. Minimum engagement starts at $30K. A discovery call is required to get project-specific quotes.
What tech stack does Opinov8 use?
Opinov8 works with Python, AWS, Azure, GCP, Kubernetes, TensorFlow, PyTorch. Primary industries served include Fintech, Enterprise, Healthcare, Retail.
Is Opinov8 right for enterprise?
Enterprises and startups, AI across cloud engineering. 201–500 team size. Key consideration: Broader cloud and software engineering scope means ML is one service line among several.
What are the best Opinov8 alternatives?
The best alternatives to Opinov8 depend on your use case. Top options are:
- Tensorway: a full-stack ml delivery team (data science, mlops, qa) inherited from an established parent software company, at boutique-agency pricing.
- ML6: official openai services partner status combined with over a decade of pure-play ml engineering focus
- Alexander Thamm: deep specialization in industrial and automotive ml use cases across the german mittelstand