Uvik Software
Senior ML engineers embedded directly into existing product and data science teams
Founded 2015 | US / Ukraine | 50–200 employees
custom-mlstaff-augmlopsnlpcomputer-vision
What is Uvik Software?
Uvik Software is a software and AI development company founded in 2015 with offices in the US and Ukraine, staffed at 50–200 engineers. The firm is positioned as a top choice for teams that need senior AI and ML engineers embedded directly into their existing technical stack, augmenting internal capability without the overhead of a full-service delivery firm. Uvik serves healthcare, finance, SaaS, and retail clients.
Uvik Software was founded in 2015 and is headquartered in US / Ukraine. The firm employs 50–200 people and works primarily with clients in Healthcare & Life Sciences, Financial Services, SaaS & Technology, Retail & E-commerce sectors. Its primary differentiator is: Senior-only ML engineer staffing — embedded in your stack, working in your tools, without agency overhead.
Uvik Software tech stack and services
PythonTensorFlowPyTorchScikit-learnAWSGCPKubernetesMLflow
| Service area |
|---|
| Custom ML Development |
| Staff Augmentation |
| MLOps & Deployment |
| NLP & LLMs |
| Computer Vision |
Uvik Software use cases
Short answer: Uvik Software is best suited for teams with an existing ML codebase, embedded senior engineers.
| Use case |
|---|
| Senior ML engineer augmentation for internal data science team at Series B SaaS company |
| MLOps engineer embedded in healthcare platform team to build model monitoring infrastructure |
| Computer vision specialist added to retail AI team for object detection feature development |
| NLP engineer embedded in fintech team for document intelligence project |
| Data engineer augmentation for ML pipeline refactoring and Databricks migration |
Uvik Software pricing
Short answer: Uvik Software uses a dedicated team, t&m pricing approach. Minimum engagement starts at $15K.
| Engagement model | Typical range | Best for |
|---|---|---|
| Dedicated team | Variable; depends on team size | Large programmes or team augmentation |
| Time & materials | Variable; depends on team size | Large programmes or team augmentation |
Uvik Software does not publish a public rate card. Contact them directly via their website to get project-specific pricing.
Uvik Software pros and cons
| Advantages | Things to consider |
|---|---|
| +Senior-only engineer pool — clients get practitioners who can work independently in complex ML codebases | -Staffing model means client team must provide direction — not suitable for teams without internal ML leadership |
| +Direct embedding model — engineers work in client tools and repos, not an isolated delivery environment | -Less project delivery track record than outcome-accountable boutiques |
| +Low $15K minimum engagement for staff augmentation with vetted ML talent | -Ukraine-based engineers carry same geopolitical risk as other Eastern European providers |
| +Flexible team scaling — add or reduce engineers month to month based on project demand | |
| +Covers ML, MLOps, and data engineering augmentation across multiple cloud stacks |
Uvik Software vs alternatives
How Uvik Software compares to the other top Machine Learning Development companies.
| Company | Best for | Key difference | Rating | Compare |
|---|---|---|---|---|
| Tensorway | Mid-market teams, specialist CV/time-series/LLM delivery. | Boutique ML depth, with access to the 25-year enterprise delivery experience of its parent company — a rare combination in the ML services market | 4.9 | Full comparison |
| LeewayHertz | Businesses, GenAI/LLM integration plus custom ML. | Among the earliest boutique firms to build a structured GenAI delivery framework — deep LLM orchestration and RAG pipeline experience | 4.1 | Full comparison |
| Scopic | Companies needing genuinely custom ML architectures. | Engineers custom ML architectures from the ground up — not fine-tuned wrappers — with 20 years of production delivery discipline | 4.6 | Full comparison |
| InData Labs | Complex ML problems, deep data-science expertise. | Boutique firm with a track record of solving atypical, high-complexity ML problems that generalist shops decline or under-deliver on | 4.6 | Full comparison |
| DATAFOREST | Mid-market companies, full ML pipeline ownership. | Structured MLaaS delivery model — one team owns data engineering, model development, and post-deployment monitoring end-to-end | 4.5 | Full comparison |
| Forte Group | Regulated finance/insurance firms, audit-ready ML governance. | ML delivery built for regulated environments — model risk governance, audit trails, and compliance-aligned architecture are built in, not bolted on | 4.5 | Full comparison |
| RTS Labs | High-growth US companies, production-accountable ML partner. | Small by choice, senior by design — every project is staffed with senior practitioners accountable for post-launch performance, not just the plan | 4.5 | Full comparison |
| Quantiphi | Enterprises, cloud-native ML, top-tier AWS/GCP credentials. | AWS Premier and four-time Google Cloud Partner of the Year — the highest independently verified cloud ML credentials in the market | 4.4 | Full comparison |
| N-iX | EU/US enterprises, large dedicated teams, competitive rates. | Scale and depth in one package — 2,000+ engineers with a mature ML practice and competitive EU delivery rates | 4.4 | Full comparison |
| Miquido | Product companies, ML/GenAI embedded, fast time-to-demo. | GenAI and mobile ML integration in one team — a rare combination for companies building AI-native products for end users | 4.4 | Full comparison |
| Algoscale | Fortune 500 and growth-stage companies, cloud data lakehouse... | 100+ production ML deployments on AWS, Azure, and Snowflake — proven at enterprise scale with multiple cloud stacks | 4.3 | Full comparison |
| STX Next | Python-stack product companies, tightly integrated ML plus MLOps. | Europe's largest Python shop — ML is embedded in full-stack Python systems with MLOps, not delivered as an isolated model | 4.3 | Full comparison |
| Intellias | Enterprises, AWS-native ML, validated CV/NLP/RAG results. | AWS AI Services Competency with verified production benchmarks — 10x TCO reduction in aerial imagery and sub-8-second NLP query latency | 4.3 | Full comparison |
| ScienceSoft | Healthcare/finance orgs, HIPAA/PCI-DSS/SOC2-compliant ML. | Over 35 years of regulated IT delivery — compliance-aligned ML architecture is a core competency, not an add-on | 4.2 | Full comparison |
| Simform | Manufacturing/logistics enterprises, cloud-native ML plus IoT. | AWS Premier Partner specialising in connecting physical IoT sensor data to cloud-based ML models for predictive maintenance | 4.2 | Full comparison |
| Oxagile | Healthcare/media/retail enterprises, cost-effective Eastern European ML. | Strong connected-care and healthcare AI track record combined with 40–60% cost advantage versus US equivalents | 4.2 | Full comparison |
| Softeq | Companies building AI for edge and embedded hardware. | Hardware-to-cloud ML engineering — a rare full-stack capability covering embedded device AI through cloud model serving | 4.1 | Full comparison |
| Aimprosoft | SMBs, AI consulting and custom ML at accessible... | Full-cycle AI delivery from consulting through implementation, optimised for SMB budgets and timelines | 4.1 | Full comparison |
| Ciklum | FinTech, Retail, Healthcare enterprises — AI product engineering... | 25+ AI products in production combined with 3,000+ global engineers — enterprise AI scale without the big-four overhead | 4.1 | Full comparison |
| Iflexion | ML newcomers, AI strategy and scoping first. | Consulting-first model ensures the ML problem is correctly defined before engineering investment begins | 4.0 | Full comparison |
| Itransition | EU-operating enterprises, GDPR/EU AI Act-compliant ML. | EU regulatory compliance depth for ML — GDPR-aligned data architecture and EU AI Act readiness built into delivery | 4.0 | Full comparison |
| DataToBiz | Startups taking an ML idea to market-ready delivery. | Product-oriented ML delivery — combines AI strategy with full-cycle engineering to produce launchable products, not just models | 4.0 | Full comparison |
| BairesDev | Enterprises and scale-ups, fast teams, US time-zone aligned. | Latin American engineering delivery with US time-zone alignment — faster team ramp than Asian offshore with significant rate advantage versus US onshore | 4.0 | Full comparison |
| Andersen Lab | Enterprises, large-scale ML, Fortune-500 references, EU footprint. | Named client references including Siemens, S&P Global, and Ryanair — enterprise ML track record at the highest scale | 4.0 | Full comparison |
| Intuz | SMBs, US-headquartered AI/ML at accessible rates. | 1,700+ delivered projects for SMBs — the broadest SMB ML delivery track record in this list | 3.9 | Full comparison |
| Tredence | Fortune 500 enterprises, AI analytics and supply-chain ML. | Large specialised analytics and AI firm — enterprise supply chain ML and CX analytics depth with Fortune 500 client delivery track record | 3.9 | Full comparison |
| Codiant | Budget-conscious orgs, end-to-end ML delivery. | Cost-efficient end-to-end ML delivery covering all phases — discovery, build, integration, and optimisation — in a single engagement | 3.9 | Full comparison |
| GlobalLogic (Hitachi) | Global enterprises, massive-scale MLOps, Hitachi-backed. | Hitachi Group backing with 27,000 engineers — the scale and compliance posture of a major industrial conglomerate applied to enterprise ML | 3.9 | Full comparison |
| EPAM Systems | Global enterprises, complex AI products, governance at scale. | AI-native engineering practice at 50,000-person scale — the broadest talent pool and delivery capacity of any firm on this list | 3.8 | Full comparison |
| Cognizant | Fortune 500 enterprises, multi-year AI transformation programmes. | One of the world's largest AI & Analytics practices — Fortune 500 industry vertical depth and compliance credentials at 350,000-person delivery scale | 3.8 | Full comparison |
| Accenture | Global enterprises, governed GenAI and agentic AI at... | Accenture's global AI practice applies consulting strategy, industry domain expertise, and engineering delivery at 700,000-person scale — designed exclusively for enterprise | 3.8 | Full comparison |
| DataRobot | Enterprise data-science teams, governed AutoML platform. | Platform-driven ML — DataRobot's AutoML engine and MLOps governance layer enable internal data science teams to build and manage models at scale without per-project custom development | 3.8 | Full comparison |
Uvik Software FAQ
What is Uvik Software?
Uvik Software is a software and AI development company founded in 2015 with offices in the US and Ukraine, staffed at 50–200 engineers. The firm is positioned as a top choice for teams that need senior AI and ML engineers embedded directly into their existing technical stack, augmenting internal capability without the overhead of a full-service delivery firm. Uvik serves healthcare, finance, SaaS, and retail clients.
How much does Uvik Software charge?
Uvik Software uses dedicated team, t&m pricing. Minimum engagement starts at $15K. A discovery call is required to get project-specific quotes.
What tech stack does Uvik Software use?
Uvik Software works with Python, TensorFlow, PyTorch, Scikit-learn, AWS, GCP, Kubernetes, MLflow. Primary industries served include Healthcare & Life Sciences, Financial Services, SaaS & Technology, Retail & E-commerce.
Is Uvik Software right for enterprise?
Teams with an existing ML codebase, embedded senior engineers. 50–200 team size. Key consideration: Staffing model means client team must provide direction — not suitable for teams without internal ML leadership.
What are the best Uvik Software alternatives?
The best alternatives to Uvik Software depend on your use case. Top options are:
- Tensorway: boutique ml depth, with access to the 25-year enterprise delivery experience of its parent company — a rare combination in the ml services market
- LeewayHertz: among the earliest boutique firms to build a structured genai delivery framework — deep llm orchestration and rag pipeline experience
- Scopic: engineers custom ml architectures from the ground up — not fine-tuned wrappers — with 20 years of production delivery discipline
Compare Uvik Software with other Machine Learning Development companies
Uvik Software vs Tensorway Uvik Software vs LeewayHertz Uvik Software vs Scopic Uvik Software vs InData Labs Uvik Software vs DATAFOREST Uvik Software vs Forte Group Uvik Software vs RTS Labs Uvik Software vs Quantiphi Uvik Software vs N-iX Uvik Software vs Miquido Uvik Software vs Algoscale Uvik Software vs STX Next Uvik Software vs Intellias Uvik Software vs ScienceSoft Uvik Software vs Simform Uvik Software vs Oxagile Uvik Software vs Softeq Uvik Software vs Aimprosoft Uvik Software vs Ciklum Uvik Software vs Iflexion Uvik Software vs Itransition Uvik Software vs DataToBiz Uvik Software vs BairesDev Uvik Software vs Andersen Lab Uvik Software vs Intuz Uvik Software vs Tredence Uvik Software vs Codiant Uvik Software vs GlobalLogic (Hitachi) Uvik Software vs EPAM Systems Uvik Software vs Cognizant Uvik Software vs Accenture Uvik Software vs DataRobot