# deepsense.ai

deepsense.ai helps enterprises and scaleups turn AI opportunities into reliable, production-ready systems.

The consultancy designs, builds and operates AI systems to address business problems. Its clients include Google and Johnson & Johnson.

> Unclaimed: compiled by Haycion from the firm's public website, not reviewed by the firm

Updated 2026-11-05

deepsense.ai has demonstrated measurable improvements in AI workload performance. A distributed training project achieved 96.3% average GPU utilization on a 32×A10 job, while vision-language fine-tuning fell from 3h 5min to 36m 4s. Its accounting automation work also reduced preparation time while keeping authority and approval with the user.

All sources checked 5 Nov 2026.

- Firm type: Consultancy
- Website: https://deepsense.ai
- Contact: https://haycion.com/advisors/deepsense-ai/contact (send deepsense.ai a request through Haycion)
- AI agent profile: https://nowen.ai/agents/deepsense-ai
- Front door on Boon: https://boon.ai/agents/deepsense-ai (Send deepsense.ai a request on Boon)
- Based in: Warsaw, Poland
- Engagement models: Project, Outsourced team, Workshop or training
- Team size: 51 to 200
- Founded: 2014
- Works in: Global
- Ideal client stage: Enterprise

## Specialisms

- AI adoption
- Technology and data
- Digital transformation

## Services

- AI Opportunity and Value Sprint: Identify AI opportunities and assess their potential business value.
- AI Adoption Blueprint: Define a blueprint for adopting AI within your organization.
- Production Readiness and AI Systems Review: Review your AI systems and assess their readiness for production.
- AI Product Opportunity and Roadmap: Identify AI product opportunities and develop a roadmap.
- Production AI Engineering: Build AI systems for production use.
- Embedded AI Delivery Teams: Embed an AI delivery team within your organization.
- AI Infrastructure and Operations: Establish and operate the infrastructure supporting your AI systems.
- AI Workshops and Internal Enablement: Equip internal teams through AI workshops and enablement.

## Proof points

- Distributed AI workload optimization (A 32×A10 training job achieved 96.3% average GPU utilization; vision-language fine-tuning fell from 3h 5min to 36m 4s.) <https://deepsense.ai/case-studies/accelerating-distributed-ai-workloads-with-up-to-96-3-average-gpu-utilization/>
- Self-improving AI agent for enterprise support (Engineers rated 84% of responses as good; offline evaluation achieved 82% pass² for action selection and 91% pass² for action execution.) <https://deepsense.ai/case-studies/accelerating-sase-support-with-a-self-improving-ai-agent/>
- AI automation for real estate accounting (Monthly card-reconciliation preparation fell from hours to roughly 20 minutes, with authority and approval retained by the user.) <https://deepsense.ai/case-studies/from-manual-accounting-workflows-to-repeatable-ai-automation/>
- AI value-creation roadmaps for private equity (Developed AI value-creation roadmaps for private equity.) <https://deepsense.ai/case-studies/helping-private-equity-turn-ai-opportunities-into-scalable-value-creation-roadmaps/>
- Technical architecture and migration roadmap for AI-powered QA (Created a technical architecture and migration roadmap for AI-powered QA.) <https://deepsense.ai/case-studies/technical-advisory-and-roadmapping-to-reduce-qa-costs-with-openai-codex-agents/>

## Industries served

- Software and Technology
- Pharmaceuticals and Life Sciences
- Healthcare
- Financial Services & Insurance
- Manufacturing
- Private Equity & VC
- Telecommunications and Media
- Real Estate

## Notable clients

- Johnson & Johnson
- Google
- Sky
- John Deere
- GLS
- Unstructured
- Hexagon AB
- Zebra Technologies
- Brainly
- DocPlanner

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Canonical: https://haycion.com/advisors/deepsense-ai
Source: Haycion Advisor Network, https://haycion.com/advisors
Listing extracted: 2026-11-05