Provectus
AI-first systems integrator founded in 2010, headquartered in Palo Alto.
Founded 2010 | Palo Alto, California, USA | 501–1,000 employees | Last updated: July 2026
ml-developmentmlopsdata-engineeringai-consulting
What is Provectus?
Provectus is an AI and cloud engineering consultancy founded in 2010 by Stepan Pushkarev, headquartered in Palo Alto with 500–1,000 employees across roughly nine locations. The company positions itself as a mid-market AI-first systems integrator, combining big-data engineering, cloud engineering, and applied ML/AI practices, and holds partner status with major cloud providers (per company website; independently unverifiable exact partnership tier).
Provectus was founded in 2010 and is headquartered in Palo Alto, California, USA. The firm employs 501–1,000 people and works primarily with clients in Retail, Healthcare, Financial Services, Technology/SaaS sectors. Its primary differentiator is: Combines AI/ML delivery with cloud and big-data engineering as a single integrated systems-integrator practice..
Provectus tech stack and services
PythonTensorFlowPyTorchAWSKubeflowApache Spark
| Service area | Details |
|---|---|
| Consolidating a fragmented cloud + data + ML stack under one delivery partner | Available for Retail, Healthcare, Financial Services, Technology/SaaS clients |
| Standing up a big-data platform that feeds downstream ML models | Available for Retail, Healthcare, Financial Services, Technology/SaaS clients |
| Enterprise AI/ML programs that need a partner with cloud infrastructure depth, not just data science | Available for Retail, Healthcare, Financial Services, Technology/SaaS clients |
Provectus use cases
Short answer: Provectus is best suited for mid-market and enterprise buyers who want AI/ML delivery bundled with cloud and big-data engineering from one integrator..
| Use case | Industries | Approach |
|---|---|---|
| Consolidating a fragmented cloud + data + ML stack under one delivery partner | Retail, Healthcare | Python, TensorFlow |
| Standing up a big-data platform that feeds downstream ML models | Retail, Healthcare | Python, TensorFlow |
| Enterprise AI/ML programs that need a partner with cloud infrastructure depth, not just data science | Retail, Healthcare | Python, TensorFlow |
Provectus pricing
Short answer: Provectus uses a fixed project and dedicated team engagements pricing approach. Minimum engagement starts at $50K.
| Engagement model | Typical range | Best for |
|---|---|---|
| Fixed project | From $50K | Well-defined scope |
| Dedicated team | Variable; depends on team size | Large programmes or team augmentation |
Provectus does not publish a public rate card. Contact them directly via their website to get project-specific pricing.
Provectus pros and cons
| Advantages | Things to consider |
|---|---|
| +15 years of continuous operation gives a longer delivery track record than most boutiques on this list | -Broader systems-integrator scope means ML-specialist depth is spread across cloud and data-engineering practices rather than singularly focused |
| +Combines data engineering and MLOps with model development, reducing hand-off friction between teams | -Mid-market pricing and minimums put it out of reach for very small pilot projects |
| +500–1,000 employee scale supports multiple concurrent enterprise workstreams | -Public reporting on exact current headcount varies by source (500–1,000 vs. ~700), so buyers should confirm team size directly |
| +Established cloud-provider relationships support production deployment at scale |
Provectus vs alternatives
How Provectus compares to the other top Machine Learning Development agencies.
| Company | Best for | Key difference | Rating | Compare |
|---|---|---|---|---|
| Neurons Lab | Enterprises in financial services or other regulated sectors... | One of the few AI consultancies worldwide holding AWS's Advanced Machine Learning Consulting Competence. | 4.8 | Full comparison |
| Tensorway | Mid-market companies wanting a single vendor to cover... | Full-stack ML delivery — data science, MLOps, and LLM/agentic frameworks (LangChain, LangGraph, AutoGen) — in one team. | 4.6 | Full comparison |
| InData Labs | Fintech, healthcare, and SaaS companies wanting a specialist... | Dedicated in-house R&D center focused specifically on data science and AI rather than broad software outsourcing. | 4.5 | Full comparison |
| AI Superior | Small and mid-size companies in the EU that... | PhD-founder-led team with an explicit research-and-development service line alongside standard client delivery. | 4.3 | Full comparison |
| Data Monsters | Companies needing GPU-heavy deep learning work where an... | Elite NVIDIA partnership status supporting GPU-optimized deep learning delivery (per company website; independently unverifiable tier). | 4.2 | Full comparison |
| ITRex Group | Mid-market companies combining AI/ML work with IoT or... | Explicit focus on applied AI paired with intelligent-edge and IoT development, not just cloud-based ML. | 4.2 | Full comparison |
| Ideas2IT | Healthcare, BFSI, and manufacturing enterprises wanting AI capability... | Employee-ownership model paired with vertical focus in Healthcare, BFSI, and Manufacturing. | 4.1 | Full comparison |
| Quantiphi | Enterprises, especially in financial services, needing AI delivery... | AI-native firm that reached enterprise scale (2,600+ employees) without pivoting from generalist IT outsourcing. | 4.4 | Full comparison |
| Fractal Analytics | Large enterprises wanting a publicly-listed, financially transparent AI/analytics... | First Indian AI company to complete an IPO (NSE/BSE, February 2026), adding public financial transparency. | 4.4 | Full comparison |
| Tredence | Retail, CPG, and industrials companies wanting industry-contextualized data... | Deep vertical focus applying AI specifically within retail, CPG, and industrials contexts rather than horizontal AI consulting. | 4.2 | Full comparison |
| Sigmoid | Large enterprises needing a data-engineering-first partner that also... | Data-engineering-first delivery model, with ML/AI built directly on pipelines the firm also builds and manages. | 4.2 | Full comparison |
| LatentView Analytics | Companies wanting analytics and BI delivery with ML... | Publicly listed (NSE/BSE since 2021) analytics firm with two decades of operating history. | 3.9 | Full comparison |
| Indium Software | Companies that already use Indium for QA/testing and... | Long-standing QA and testing heritage now paired with proprietary AI accelerators like teX.ai. | 3.8 | Full comparison |
| Grid Dynamics | Enterprises needing SEC-level financial transparency and public-company compliance... | Nasdaq-listed public company (GDYN) with SEC-filed financials, offering procurement transparency few competitors match. | 4.1 | Full comparison |
| Persistent Systems | Very large enterprises that want AI/ML delivered by... | Enterprise-wide scale (24,000+ employees) supporting AI/ML as part of a full IT services portfolio, not a standalone specialty. | 3.8 | Full comparison |
| EPAM Systems | The largest global enterprises needing AI delivery embedded... | Largest headcount on this list (62,000+) with NYSE-listed financial transparency and a proprietary LLM orchestration platform (EPAM DIAL). | 3.8 | Full comparison |
| SoftServe | Enterprises wanting a large, established engineering partner with... | 32 years of continuous operation spanning both a US public-market presence and deep Ukrainian engineering roots. | 4.0 | Full comparison |
| N-iX | Mid-to-large enterprises, including Fortune 500 clients, wanting a... | 23 years of operating history originating from a Novell technology acquisition, now serving Fortune 500 clients from a Malta-based HQ. | 4.0 | Full comparison |
| DataArt | Enterprises across finance, media, healthcare, and retail wanting... | 28 years of operating history across 30+ global delivery locations, with a newer (2024) dedicated AI strategy consulting service line. | 3.9 | Full comparison |
| Andersen | Mid-to-large enterprises wanting AI/ML and data science delivered... | Named AI-powered robotic integration line alongside standard AI/ML and data science services. | 4.0 | Full comparison |
| Innowise Group | Companies wanting AI/ML delivered as part of a... | Full-cycle software development scope (web, mobile, cloud, QA, security) with AI/ML as one of several integrated specialties. | 3.9 | Full comparison |
| Sigma Software Group | Companies wanting ML delivered by an outsourcing firm... | Consecutive annual placement on IAOP's World's Top 100 Outsourcing list every year since 2015. | 4.0 | Full comparison |
| Exadel | Enterprises wanting model design through MLOps and production... | Explicit end-to-end scope 'from model design to MLOps and integration' as one of five named core service lines. | 4.1 | Full comparison |
| MobiDev | Retail, hospitality, and health/fitness companies wanting a mid-size... | 65+ delivered AI/ML products concentrated in retail, hospitality, fitness, and health/wellness verticals. | 4.2 | Full comparison |
| Master of Code Global | Companies specifically building conversational AI, chatbot, or generative-AI-driven... | Specialization narrowly focused on conversational AI and chatbots, with 1,000+ projects delivered over 21 years. | 4.1 | Full comparison |
| ScienceSoft | Companies wanting AI/ML delivered by a long-established generalist... | 36 years of continuous IT consulting history, one of the longest track records among firms on this list. | 3.9 | Full comparison |
| Intellectsoft | Enterprises wanting AI-powered application development from a firm... | Named enterprise client roster (EY, Harley-Davidson, London Stock Exchange, Qualcomm, Jaguar) rare among mid-size firms on this list. | 4.0 | Full comparison |
| Belitsoft | Small-to-mid companies wanting AI/ML added to a broader... | 21 years as a custom software development firm now expanding deliberately into generative AI and predictive analytics. | 3.9 | Full comparison |
| Neoteric | Small and mid-size companies wanting an accessible, specialized... | 20 years of operating history condensed into a compact, generative-AI-focused team rather than a broad IT services portfolio. | 4.3 | Full comparison |
| Addepto | Companies wanting boutique AI/BI consulting from a team... | Boutique AI/BI consultancy that gained additional scale and resources through its December 2025 acquisition by KMS Technology. | 4.1 | Full comparison |
| Softweb Solutions | Companies needing AI/ML specifically paired with IoT sensor... | Backed by Avnet, a global electronics distributor, giving unusual hardware/IoT supply-chain proximity for AI-on-device projects. | 3.9 | Full comparison |
Provectus FAQ
What is Provectus?
Provectus is an AI and cloud engineering consultancy founded in 2010 by Stepan Pushkarev, headquartered in Palo Alto with 500–1,000 employees across roughly nine locations. The company positions itself as a mid-market AI-first systems integrator, combining big-data engineering, cloud engineering, and applied ML/AI practices, and holds partner status with major cloud providers (per company website; independently unverifiable exact partnership tier).
How much does Provectus charge?
Provectus uses fixed project and dedicated team engagements pricing. Minimum engagement starts at $50K. A discovery call is required to get project-specific quotes.
What tech stack does Provectus use?
Provectus works with Python, TensorFlow, PyTorch, AWS, Kubeflow, Apache Spark. Primary industries served include Retail, Healthcare, Financial Services, Technology/SaaS.
Is Provectus right for enterprise?
Mid-market and enterprise buyers who want AI/ML delivery bundled with cloud and big-data engineering from one integrator.. 501–1,000 team size. Key consideration: Broader systems-integrator scope means ML-specialist depth is spread across cloud and data-engineering practices rather than singularly focused.
What are the best Provectus alternatives?
The best alternatives to Provectus depend on your use case. Top options are:
- Neurons Lab: one of the few ai consultancies worldwide holding aws's advanced machine learning consulting competence.
- Tensorway: full-stack ml delivery — data science, mlops, and llm/agentic frameworks (langchain, langgraph, autogen) — in one team.
- InData Labs: dedicated in-house r&d center focused specifically on data science and ai rather than broad software outsourcing.
Compare Provectus with other Machine Learning Development agencies
Provectus vs Neurons Lab Provectus vs Tensorway Provectus vs InData Labs Provectus vs AI Superior Provectus vs Data Monsters Provectus vs ITRex Group Provectus vs Ideas2IT Provectus vs Quantiphi Provectus vs Fractal Analytics Provectus vs Tredence Provectus vs Sigmoid Provectus vs LatentView Analytics Provectus vs Indium Software Provectus vs Grid Dynamics Provectus vs Persistent Systems Provectus vs EPAM Systems Provectus vs SoftServe Provectus vs N-iX Provectus vs DataArt Provectus vs Andersen Provectus vs Innowise Group Provectus vs Sigma Software Group Provectus vs Exadel Provectus vs MobiDev Provectus vs Master of Code Global Provectus vs ScienceSoft Provectus vs Intellectsoft Provectus vs Belitsoft Provectus vs Neoteric Provectus vs Addepto Provectus vs Softweb Solutions
Last reviewed: July 2026. Verify all details directly with Provectus before making a decision.