AI Opportunity and Value Sprint
Identify AI opportunities and assess their potential business value.
Ask about this →D
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.
- Engagement models
- Project, Outsourced team, Workshop or training
- Team size
- 51 to 200
- Founded
- 2014
- Works in
- Global
- Ideal client stage
- Enterprise
Services
What you can hire deepsense.ai for
AI Adoption Blueprint
Define a blueprint for adopting AI within your organization.
Ask about this →Production Readiness and AI Systems Review
Review your AI systems and assess their readiness for production.
Ask about this →AI Product Opportunity and Roadmap
Identify AI product opportunities and develop a roadmap.
Ask about this →Production AI Engineering
Build AI systems for production use.
Ask about this →Embedded AI Delivery Teams
Embed an AI delivery team within your organization.
Ask about this →AI Infrastructure and Operations
Establish and operate the infrastructure supporting your AI systems.
Ask about this →AI Workshops and Internal Enablement
Equip internal teams through AI workshops and enablement.
Ask about this →Fit
Is deepsense.ai right for you?
A good fit if you are
- An enterprise
- In software and technology, pharmaceuticals and life sciences, healthcare, financial services & insurance, manufacturing, private equity & VC, telecommunications and media or real estate
- Based anywhere: they work globally
How they engage
- Project
- A defined scope with one outcome.
- Outsourced team
- The firm's people run delivery alongside yours.
- Workshop or training
- Sessions that teach your team a method or a skill.
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.
Case study on deepsense.ai ↗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.
Case study on deepsense.ai ↗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.
Case study on deepsense.ai ↗AI value-creation roadmaps for private equity
Developed AI value-creation roadmaps for private equity.
Case study on deepsense.ai ↗Technical architecture and migration roadmap for AI-powered QA
Created a technical architecture and migration roadmap for AI-powered QA.
Case study on deepsense.ai ↗About deepsense.ai
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.
Industries served
All sources checked 5 Nov 2026.
Questions and answers
How do I contact deepsense.ai?
Use Contact deepsense.ai on this page and describe what you need. Haycion passes your request to deepsense.ai, and they reply to the email you give.
Have a project for deepsense.ai?
Send them a request. They reply by email.
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