deepsense.ai
Polish AI specialist with a long record of placing engineers inside client ML teams
What is deepsense.ai?
deepsense.ai started in Warsaw in 2014 and has spent its whole history on machine learning, which shows in the depth of its MLOps and computer-vision work. It sells team augmentation as a named service and says more than 100 data scientists and engineers are available to join client teams. One client describes a dedicated team of deepsense.ai consultants working inside its MLOps function for three years, and DocPlanner credits an advisory engagement with a thorough knowledge transfer to its in-house AI team. A free assessment and quote are offered before any contract.
deepsense.ai works primarily with clients in Software & technology, Retail, Healthcare, Manufacturing sectors. Its primary differentiator is: A decade of ML-only delivery, with multi-year augmentation clients on record.
deepsense.ai tech stack and services
| Service area |
|---|
| ML Engineers |
| MLOps |
| Computer Vision |
| LLM Engineers |
| Eastern Europe Talent |
| Dedicated Teams |
deepsense.ai pricing
Short answer: deepsense.ai uses a time-and-materials per engineer after a free assessment; rates on request pricing approach. Minimum engagement is not publicly disclosed; a discovery call is required.
| Engagement model | Typical range | Best for |
|---|---|---|
| Dedicated engineers | Variable; depends on team size | Large programmes or team augmentation |
| Embedded team | Variable; depends on team size | Large programmes or team augmentation |
| Project delivery | Variable; depends on team size | Large programmes or team augmentation |
deepsense.ai pros and cons
| Advantages | Things to consider |
|---|---|
| +Team augmentation is a published service with its own page, which says a lot about how often they do it | -About 100 engineers is plenty for a squad but thin for a large program |
| +Clutch reviewers describe quick onboarding into existing codebases | -Rates are not published; one Clutch review cites roughly $100,000 for a single engagement |
| +Strong MLOps record, including a three-year embedded engagement | -Warsaw hours give only a short overlap with U.S. West Coast teams |
| +Free assessment before you commit |
deepsense.ai vs alternatives
How deepsense.ai compares to the other top AI-Native Staff Augmentation companies.
| Company | Best for | Key difference | Rating | Compare |
|---|---|---|---|---|
| Quantiphi | Enterprises that need several AI specialists at once... | A multi-thousand-person AI and data bench with a named staffing program run with AWS | 4.6 | Full comparison |
| Tensorway | Product teams that want senior AI engineers inside... | Senior AI engineers run the screening, and knowledge transfer to in-house staff is part of every engagement | 4.5 | Full comparison |
| Fusemachines | Mid-market and enterprise buyers who want AI engineers... | Its own AI education program feeds the engineering bench | 4.3 | Full comparison |
| InData Labs | Buyers who want an R&D-minded data science team... | Research-led data science with a dedicated-team option | 4.2 | Full comparison |
| Sigmoid | CPG and retail data teams that need ML... | Requirement-by-requirement split between project work and monthly staff augmentation | 4.2 | Full comparison |
| Data Science UA | Companies building a Ukrainian AI team they will... | Recruiting from Ukraine's largest AI community, with managed teams as an option | 4.1 | Full comparison |
| Algoscale | Budget-conscious teams that need data engineers and ML... | Data consulting experience bundled into staff augmentation, plus a free trial | 4.1 | Full comparison |
| Kanerika | Enterprises modernizing data platforms that want onshore, nearshore... | Three delivery models under one contract, from Austin, Argentina and India | 4.0 | Full comparison |
| Vstorm | Teams whose agent prototype works in a demo... | Senior agent engineers who join an existing team to fix reliability and integration | 4.0 | Full comparison |
| Fuzzy Labs | UK data science teams, including public sector, that... | Open-source MLOps specialists with security-cleared engineers for government work | 4.0 | Full comparison |
| Tribe AI | Companies that want senior AI engineers and product... | A curated network of senior AI practitioners deployed inside the client's organization | 4.0 | Full comparison |
| Addepto | Industrial and automotive companies adding AI and data... | AI-heavy team with manufacturing domain experience, now backed by a larger group | 3.9 | Full comparison |
| Neurons Lab | Banks and insurers that need agentic AI engineers... | Financial-services AI with AWS GenAI competency and forward-deployed engineers | 3.9 | Full comparison |
| Merantix Momentum | German industrial companies that want an outside ML... | Operates as a company's ML function, backed by the Merantix AI ecosystem | 3.9 | Full comparison |
| Sciforce | Healthcare and scientific data projects that need NLP... | Medical and scientific data experience in a small AI-first firm | 3.9 | Full comparison |
| Pento | U.S. startups and mid-market firms that want nearshore... | AI-only engineering from Uruguay with full U.S. working-hour overlap | 3.9 | Full comparison |
| DataToBiz | Analytics teams that need BI and data science... | Fast placement of data and BI specialists with AI skills | 3.8 | Full comparison |
| Sigmoidal | U.S. companies that want a small ML team... | Data-centric ML specialists with a staff augmentation model for long engagements | 3.8 | Full comparison |
| Omdena | Startups and mission-driven organizations that want to see... | Challenge-based vetting where engineers solve your real problem before you hire | 3.8 | Full comparison |
| micro1 | Startups that want vetted remote AI developers quickly,... | AI-run vetting at volume plus employer-of-record payroll | 3.8 | Full comparison |
| Dataroots | Benelux enterprises that need ML and data engineers... | Benelux data platform specialists backed by Talan's wider consulting group | 3.8 | Full comparison |
| BroutonLab | Startups that need a PhD-level data scientist part-time... | Fractional deep learning experts at a published hourly rate | 3.7 | Full comparison |
| Experfy | Enterprises that want a private, pre-vetted pool of... | Private talent clouds with expert vetting and employer-of-record cover | 3.7 | Full comparison |
| Dataforest | Companies that need data engineers who can also... | Data engineering depth with AI agent work on top | 3.7 | Full comparison |
| BotsCrew | Companies adding chatbot or voice-agent engineers to a... | Nearly a decade of conversational AI work, now with U.S. ownership | 3.7 | Full comparison |
| Brainpool AI | Buyers who need a rare academic AI specialist... | Academic-heavy expert network across 23 countries | 3.6 | Full comparison |
| Mercor | AI labs and companies that need evaluation or... | AI interviewing that can screen very large candidate pools quickly | 3.6 | Full comparison |
| Data Pilot | Small budgets that need a data and ML... | Low-cost data and ML team that can also manage the developers it sources | 3.6 | Full comparison |
deepsense.ai FAQ
What is deepsense.ai?
Polish AI specialist with a long record of placing engineers inside client ML teams
How much does deepsense.ai charge?
deepsense.ai uses time-and-materials per engineer after a free assessment; rates on request pricing. Minimum engagement is not publicly disclosed. A discovery call is required to get project-specific quotes.
What tech stack does deepsense.ai use?
deepsense.ai works with Python, PyTorch, TensorFlow, LangChain, Hugging Face, MLflow, Kubeflow, AWS, Google Cloud. Primary industries served include Software & technology, Retail, Healthcare, Manufacturing.
Is deepsense.ai right for enterprise?
Long MLOps or computer-vision engagements that need senior European engineers. 100+ engineers and data scientists (per company) team size. Key consideration: About 100 engineers is plenty for a squad but thin for a large program.
What are the best deepsense.ai alternatives?
The best alternatives to deepsense.ai depend on your use case. Top options are:
- Quantiphi: a multi-thousand-person ai and data bench with a named staffing program run with aws
- Tensorway: senior ai engineers run the screening, and knowledge transfer to in-house staff is part of every engagement
- Fusemachines: its own ai education program feeds the engineering bench
Compare deepsense.ai with other AI-Native Staff Augmentation companies
Verify all details directly with deepsense.ai before making a decision.