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deepsense.ai

Warsaw, Poland

Applied AI experts delivering end-to-end AI strategies and production-ready solutions for global enterprises.

deepsense.ai is a Europe-based applied AI company that partners with enterprises to turn AI ideas into production-ready solutions. It provides end-to-end guidance, development, and governance to help clients across industries navigate the AI landscape and achieve measurable business value. Capabilities span strategy, data science, MLOps, computer vision, edge solutions, and predictive analytics, enabling data-driven decision making. The team emphasizes practical, production-focused outcomes rather than theoretical research, operates with a remote-first culture, and maintains partnerships with leading AI platforms to accelerate deployment from discovery to production. The mission is to deliver value, empower clients from AI newcomers to industry leaders, and bridge the gap between cutting-edge AI and real-world applications.

Mission statement

Our mission is to deliver measurable value, partnering with clients from AI newcomers to industry leaders to navigate the evolving AI landscape. We aim to bridge the gap between cutting-edge AI solutions and practical applications, focusing on solving real-world problems rather than competing with research labs dedicated to academic pursuits.

Products & Services

Ragbits Platform

Accelerate the deployment of AI systems with Agentic RAG pipelines for effective data utilization.

deepsense.ai/rd-hub/ragbits
  • ✓ Agentic RAG Pipelines — Deploy Agentic RAG Pipelines
  • ✓ Enterprise RAG and Knowledge Systems — Integrate Enterprise RAG Systems
  • ✓ LLM-powered Products and Copilots — Leverage LLMs
  • ✓ AI Evaluation and Monitoring — Ensure AI Governance
  • ✓ MLOps and LLMOps — Streamline AI Operations
  • ✓ RAG Development Accelerator — Accelerate RAG Development
  • ✓ Computer Vision — Integrate Computer Vision
  • ✓ Voice AI — Integrate Voice AI
  • ✓ Document Intelligence — Automate Document Processing
  • ✓ Predictive and Classical ML — Support ML Workloads
  • ✓ Edge AI — Deploy Edge AI Solutions

MCP Servers Service

Empower data-driven decision-making with custom MCP servers seamlessly integrated into your enterprise infrastructure.

deepsense.ai/tech-expertise/mlops/custom-mcp-servers-as-part-of-enterprise-ai-infrastructure
  • ✓ Unified Data Access — Streamline Data Retrieval
  • ✓ Secure Data Integration — Ensure Data Security
  • ✓ Scalable Analytics Workflows — Enhance Operational Efficiency

Market Segments

Billion USD 0 10 20 30 40 50 Retrieval-augme… MLOps and LLM o… Enterprise know… On-prem AI infr… Market Size (Billion USD)
0% 5% 10% 15% 20% 25% 30% 35% 40% 45% 50% 55% CAGR Growth Potential

Retrieval-augmented generation platforms

Capabilities that integrate enterprise data retrieval with large language models to provide contextually accurate, up-to-date responses using RAG, vector storage, and secure enterprise data connectors.

Market size: $1.0B CAGR: 43.4%
Primary source (KBV Research) reports the RAG market at USD 994.0 million in 2023 with a 43.4% CAGR to reach USD 17.0 billion by 2031 — used as the basis for a ~1.0B current market size and 43.4% CAGR estimate. Market.us and an industry analysis (LinkedIn excerpt) show similar high-growth projections (CAGR ~35–49%), supporting strong near-term expansion.
20 RE PR 3 references

MLOps and LLM operations

Capabilities to manage model lifecycle, deploy and monitor machine learning and large language models, and optimize model performance and ROI in production.

Market size: $3.0B CAGR: 45.8%
Primary estimate uses Fortune Business Insights (2025 valuation USD 2.98B and forecast CAGR 45.8%). Market Research Future provides a corroborating market-size trajectory (2024: USD 3.13B; 2025: USD 4.37B) with a slightly lower CAGR (39.8%). Additional sources show varying growth assumptions (arXiv citing a 43% five‑year growth projection; a LinkedIn summary referencing an 11% CAGR for a different forecast horizon). I selected Fortune’s 2025 size and 45.8% CAGR as the primary figures because the source provides explicit year-by-year baseline and a published multi‑year CAGR for MLOps/LLMOps in the provided search results.
TH TH TH ES A 5 references

Enterprise knowledge management

Capabilities that consolidate documents, media, transcripts, and chats into a single, contradiction-resolving knowledge base with semantic search and high-accuracy RAG for real-time retrieval.

Market size: $20.0B CAGR: 15%
Synthesis of market reports in the provided results for the 'knowledge management' / enterprise KM software category. Market size estimates in 2025 range from ~USD 14.6B (MarketResearchFuture) to USD 23.2B (Fortune). One outlier report (Business Research Insights) reports a much larger figure; I treated that as an expanded definitional outlier. I therefore estimated a current addressable market ~USD 20B (midpoint of credible reports) and a growth potential (CAGR) of ~15%, the midpoint of reported CAGRs (~13.8%–16.9%), noting other sources report 10.3%–18.1%.
RE GL EX PR 4 references

On-prem AI infrastructure and data access

Scalable, secure on-premise compute and data access platforms that unify fragmented enterprise data sources and support high-demand analytics, inference and edge deployments.

Market size: $48.3B CAGR: 24%
Estimates use published AI data-center/infrastructure market figures in the search results and apply an on‑prem share assumption. DataM reports a global AI data centers market of US$120.74B (2025) with 22.8% CAGR; NextMSC reports USD142.8B (2025) and a 24.8% CAGR; Spherical reports broader AI infrastructure growth (USD34.6B in 2023 to USD536.5B by 2033, 31.54% CAGR) and states the on‑premise segment held largest 2023 share. I assume on‑prem deployments represent roughly 40% of the AI data‑center/infrastructure market (enterprises and regulated sectors favor on‑prem), yielding ~US$48.3B (2025 equivalent) and a projected CAGR ~24% (aligned to the 22.8–24.8% range observed).
MA TH GL 3 references

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Common Questions

What does deepsense.ai Sp. z o.o. do?
deepsense.ai is a Europe-based applied AI company that partners with enterprises to turn AI ideas into production-ready solutions. It provides end-to-end guidance, development, and governance to help clients across industries navigate the AI landscape and achieve measurable business value. Capabilities span strategy, data science, MLOps, computer vision, edge solutions, and predictive analytics, enabling data-driven decision making. The team emphasizes practical, production-focused outcomes rather than theoretical research, operates with a remote-first culture, and maintains partnerships with leading AI platforms to accelerate deployment from discovery to production. The mission is to deliver value, empower clients from AI newcomers to industry leaders, and bridge the gap between cutting-edge AI and real-world applications.
What is deepsense.ai Sp. z o.o.'s role in the Retrieval-augmented generation platforms market?
Capabilities that integrate enterprise data retrieval with large language models to provide contextually accurate, up-to-date responses using RAG, vector storage, and secure enterprise data connectors.
What is deepsense.ai Sp. z o.o.'s role in the MLOps and LLM operations market?
Capabilities to manage model lifecycle, deploy and monitor machine learning and large language models, and optimize model performance and ROI in production.
How was the Retrieval-augmented generation platforms market size estimate for deepsense.ai Sp. z o.o. calculated?
Primary source (KBV Research) reports the RAG market at USD 994.0 million in 2023 with a 43.4% CAGR to reach USD 17.0 billion by 2031 — used as the basis for a ~1.0B current market size and 43.4% CAGR estimate. Market.us and an industry analysis (LinkedIn excerpt) show similar high-growth projections (CAGR ~35–49%), supporting strong near-term expansion.
How was the MLOps and LLM operations market size estimate for deepsense.ai Sp. z o.o. calculated?
Primary estimate uses Fortune Business Insights (2025 valuation USD 2.98B and forecast CAGR 45.8%). Market Research Future provides a corroborating market-size trajectory (2024: USD 3.13B; 2025: USD 4.37B) with a slightly lower CAGR (39.8%). Additional sources show varying growth assumptions (arXiv citing a 43% five‑year growth projection; a LinkedIn summary referencing an 11% CAGR for a different forecast horizon). I selected Fortune’s 2025 size and 45.8% CAGR as the primary figures because the source provides explicit year-by-year baseline and a published multi‑year CAGR for MLOps/LLMOps in the provided search results.
deepsense.ai Sp. z o.o. — company overview

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