Enterprise LLM Solutions That Deliver ROI
Design, build, and deploy custom LLM systems that integrate securely with your data, workflows, and infrastructure.
We help enterprises and AI-first companies move beyond experimentation, delivering RAG-powered assistants, agentic AI systems, and production-ready GenAI solutions where off-the-shelf tools fall short.
Why Custom LLM Solutions Matter Now
Generic chatbots and copilots are easy to launch, but difficult to scale, govern, and justify from an ROI perspective. Enterprises increasingly require:
Domain-specific accuracy grounded in proprietary data
Strong security, privacy, and regulatory compliance
Deep integration with internal systems and workflows
Transparent, auditable, and controllable AI behavior
Our work focuses on high-context, high-impact LLM applications, particularly in regulated and data-intensive environments such as healthcare, pharma, finance, and large-scale technology platforms
LLM Solutions for Your Business
We design and deliver custom LLM systems tailored to your business objectives, technical constraints, and compliance requirements.
Our expertise spans: AI Assistants & Enterprise Search, Agentic AI Systems & AI Copilots, Multimodal LLM Applications, Code & Content Generation Tools, Decision Support & Recommendation Engines.
LLM Guidance and Advisory
Identify the Right Use Cases, Before You Build.
We start by helping you focus on where LLMs create durable advantage, not hype-driven experimentation.
Our advisory engagements include:
LLM Use Case Prioritization
We identify and rank opportunities based on business value, feasibility, data readiness, and risk, ensuring investment targets the highest ROI.
LLM Architecture & Benchmarking Framework
We review or design your solution with a focus on:
- Integration with existing data and systems
- Autonomy and human-in-the-loop controls
- Latency and cost efficiency
- Security, privacy, and regulatory constraints
Deep-Dive Scoping Workshops
Through structured workshops, we define:
- Business objectives and success metrics
- User journeys and system boundaries
- Implementation roadmap and delivery milestones
The result is a clear, execution-ready LLM solution design, grounded in best practices and proven GenAI patterns.
LLM Solution Development
Built for Production, Not Prototypes.
We design and implement custom LLM systems using proven architectural patterns and battle-tested tooling.
Retrieval-Augmented Generation (RAG)
RAG enables LLMs to generate accurate, explainable outputs grounded in your proprietary data, documents, databases, and internal systems.
Ideal for:
- Enterprise AI Assistants
- Knowledge Management & Search
- Decision Support Systems
Our RAG expertise is reinforced by ragbits, our open-source, modular stack for building and scaling GenAI applications efficiently.
Agentic Systems and AI Copilots
We build agentic AI systems capable of executing multi-step workflows with controlled autonomy.
These systems extend LLMs with planning, memory, and tool use, enabling them to:
- Coordinate across systems
- Execute tasks, not just respond
- Augment human teams at scale
Ideal use cases include:
- AI Copilots for engineering, operations, and analytics
- Process automation in complex enterprise workflows
- Next-generation NLP and multimodal systems
Code and Content Generation Tools
We develop AI-powered tools that:
- Automate repetitive coding and documentation tasks
- Improve developer and knowledge-worker productivity
- Embed safely into existing SDLCs and content pipelines
All solutions include guardrails, evaluation frameworks, and monitoring.
Secure LLM Deployment
We deploy leading open and commercial models (e.g. DeepSeek, Mistral, LLaMA) in cloud-native or on-premise environments, including regulated settings.
Our deployments include:
- Prompt tracking and auditability
- Real-time monitoring and observability
- Scalable, cost-aware infrastructure
- Compliance-ready security controls
LLM Experts as Team Augmentation
Extend Your Team with Proven LLM Specialists.
Our LLM engineers integrate directly with your teams, providing hands-on expertise across architecture, implementation, and optimization.
We support:
- Rapid team scaling during growth or critical phases
- AI enablement and internal capability building
- Establishment of GenAI best practices and standards
With active open-source contributions and deep production experience, our experts help you move faster—without compromising quality.
ragbits — Modular Toolkit for LLM Applications
ragbits is deepsense.ai’s open-source framework for building and operating production-grade RAG and agentic AI systems.
It accelerates the journey from prototype to enterprise deployment by providing modular, battle-tested building blocks for retrieval, orchestration, evaluation, and observability.
- Proven across 10 enterprise products
- 20+ production deployments,
- 1.4k+ GitHub stars – trusted by a growing global developer community
- used to ship reliable GenAI solutions in days rather than weeks.
Why Enterprises Choose ragbits
ragbits reduces delivery time and operational risk while giving teams full architectural control. It enables enterprises to build secure, auditable, and scalable GenAI systems without vendor lock-in, aligning speed of experimentation with production reliability.
- Production-proven: Used in 10 enterprise client products and 20+ internal deployments; not an experimental toolkit.
- Agentic by design: Build autonomous and multi-agent workflows in ~20 lines of code with built-in tool use, A2A, and MCP support.
- End-to-end RAG excellence: Ingest 20+ file types, benchmark retrieval quality, and operate robust RAG pipelines at scale.
- Enterprise observability & auditability: Native tracing, evaluation, and logging (OpenTelemetry, Grafana, prompt evaluation) for compliance and reliability.
- Secure & deployment-flexible: Runs on-prem or in private VPCs with controlled access to data and tools.
- Composable & vendor-neutral: Hot-swap LLMs, vector stores, and integrations; supports 100+ models and major vector databases.
- Open source with momentum: MIT-licensed, 1.4k+ GitHub stars, and an active community—full control without lock-in.
Our LLM State-of-the-Practice
LLM Guidance and Advisory
project
Guiding AI Success in Infrastructure Monitoring
The project delivered a clearer AI strategy, improved prototype performance with measurable quality gains, and equipped the client with practical methods…
case-study
100% More Bookings: How AI Transformed Appointment Scheduling
The AI voicebot transformed an unstable product into a robust AI scheduling voicebot that responds 10x faster, uses 20x fewer tokens per…
project
Accelerating AI Strategy and Product Development
In a 3-week project, we reviewed their machine learning practices, including MLOps, to boost efficiency.
project
Exploring LLM Agents for Innovation with Tailored LLM Workshops
The workshop generated 6 actionable use cases, providing the R&D team with a solid understanding and enabling them to explore new AI…
LLM Solution Development
case-study
Cutting Search Time, Streamlining Ops, and Scaling Expertise with GenAI by deepsense.ai x OpenAI for Fennemore
We developed a hybrid GenAI solution powered by ChatGPT Enterprise and the OpenAI API, integrating data from SQL with unstructured content in SharePoint.
case-study
30x Faster Inference with Custom LLM SDK – Bringing GenAI to the Edge
This initiative validated that generative AI can run efficiently on edge devices, delivering cloud-level performance while improving speed, cost, and privacy.…
case-study
5x Boost in In-Silico Drug Discovery with a Multimodal LLM
The new LLM allows the client’s research team to explore molecular properties and relationships more effectively.
project
GenAI-Powered Frontline Worker Assistant
It was presented at a major retail conference in New York in 2024, demonstrating the potential of LLM applications to their customers. As a result, a pilot rollout was planned…
project
Enhancing Intent Detection with GenAI for Automated Customer Insights
The system significantly reduced manual effort, enabling the client to discover and prioritize new customer needs with greater speed and accuracy,…
LLM Experts as Team Augmentation
case-study
Guideline-Aware Protocol Generation: How LLMs Streamlined ENCePP-Aligned Study Design for Global R&D Teams
The solution enables faster, guideline-compliant protocol creation, boosting researcher productivity and accelerating time-to-market for new therapies.
project
Revolutionizing Arthritis Trials with AI-Driven Imaging Biomarkers
The client needed a more accurate and automated solution to enable smaller, cost-efficient trials while maintaining regulatory confidence.
project
From Manuals to Answers: Fast, Accurate Tech Support via RAG-Powered Chatbot
In just 4 weeks, we delivered a pilot using ragbits, our in-house GenAI framework, to build a chatbot that answers user questions by extracting data directly…
case-study
Structured LLM Automation for Tier 1 Support — Reducing Service Ticket Volume and Third-Party Costs
The solution cut Tier 1 ticket volume and reduced reliance on vendors, lowering support costs.
case-study
Cutting Search Time, Streamlining Ops, and Scaling Expertise with GenAI by deepsense.ai x OpenAI for Fennemore
We developed a hybrid GenAI solution powered by ChatGPT Enterprise and the OpenAI API, integrating data from SQL with unstructured content in SharePoint.
project
Scaling AI Innovation for a Silicon Valley Startup with LLM Solutions
We improved reliability, established global support, and deployed advanced AI models, positioning the startup as a competitive player in the enterprise LLM space.
project
Boosting Device Performance by 10x with Edge AI and CV
The quality of results remained high, with less than 1% degradation compared to non-edge inference.
project
AI-Powered Content Quality Transformation
The AI system automated content moderation, optimized workflows, and generated high-quality data for future models, driving client’s sustained growth and…
What Our Clients Say About Us
“Their team has integrated seamlessly with our in-house teams, bringing top-tier talent and a collaborative spirit that drives innovation. We are grateful for this partnership and confident in their professionalism and expertise. “
Bill Salak
CTO & SVP Operations at Brainly
“While working with Zebra teams, deepsense.ai has consistently demonstrated a strong technical capability, coupled with a proactive approach, an unwavering commitment to quality and delivering what they promise. “
Tom Bianculli
CTO at Zebra Technologies
“Partnering with deepsense.ai has helped us accelerate our understanding of AI, implement AI solutions, and gain a strategic edge in today’s competitive landscape.”
M. Anthony Aiello
Head of Product & Innovation at AdaCore
“At Unstructured, we have been delighted to partner with deepsense.ai, a collaboration that has significantly accelerated the development across our Product Roadmap. Specializing in the complex domain of unstructured ETL for RAG, deepsense.ai has matched our technical intensity and contributed across various functional areas.”
Brian S. Raymond
Founder & CEO at Unstructured
Our Insights and Resources
Learn more on LLM software development, RAG, agents, and more from the business and developer perspectives.
-
Ebook
What It Really Takes to Scale LLMs in 2025/26
-
Webinar
AI Agents: Lessons Learned in the Field
-
R&D Hub
GenAI Monitor Framework
-
Blog post
LLM Inference Optimization: How to Speed Up, Cut Costs, and Scale AI Models
-
Interview
Transforming Enterprise Data for LLMs: From Unstructured to AI-Ready
-
Blog post
LLM Inference as-a-Service vs. Self-Hosted: Which is Right for Your Business
-
Blog post
AI Agents Beyond the Hype – How They’re Powering the Uncool but Essential Use Cases
-
Blog post
Why and How to Build AI Agents for LLM Applications
-
Interview
Revolutionizing Learning. Building an AI Product for 15 Million Users Daily
Your Trusted AI Experts
Providing guidance and delivering tailored AI solutions that give you a competitive advantage.
Completed commercial
AI projects
World-class
AI experts
Years
of AI expertise
Join our established list of long-term satisfied clients, including global brands, tech enterprises, ambitious scaleups and startups. Whether you’re rapidly scaling with AI or making it the core of your business, partner with us to achieve exceptional results.
Working with AI Leaders
We maintain close ties with top AI leaders to ensure cutting-edge expertise in every project. No matter where you are on your AI journey, we can guide and implement your solutions.
Partnering with OpenAI gives our clients direct access to cutting-edge AI innovation from industry pioneers. Together, we deliver breakthrough solutions that keep businesses ahead of the curve and ready for what’s next.
“deepsense.ai teamed up with Anyscale to develop a fashion image retrieval system that serves as a reference for those looking to build similar applications.”
“The company joins the prestigious NVIDIA Service Delivery Partner program as one of a handful of preferred partners worldwide providing professional services in deep learning.”
“deepsense.ai has become one of the four companies to partner with the creators of LangChain, an innovative framework known for simplifying and accelerating the process of LLM application development.”
“By combining our expertise with Vespa’s advanced search and recommendation technologies, we continue to deliver tailored AI solutions – providing strategic guidance and hands-on implementation to help businesses unlock the full potential of AI.”
“Our partnership with Crusoe has enabled us to develop scalable, reliable, and efficient infrastructure solutions. This collaboration helps our clients reduce costs, improve system latency, and achieve their AI objectives, exemplifying our commitment to innovation and sustainability.”
Solutions Tailored To Your Needs
Whether you’re responsible for product development or innovation, seeking improvements in your business operations,
aiming to implement and operate AI more efficiently, or looking for a team of AI experts, we are here to help.
Embed AI
in your products
We integrate advanced AI – like LLMs, computer vision, or edge AI – into your software and hardware to enhance functionality, drive engagement, and future-proof your products.
Apply AI to your
business operations
Streamline repetitive processes, improve decision-making, and enhance customer interactions. From AI automation to predictive analytics, focus resources on what drives growth.
Elevate your
AI operations
We’ll help you scale it with a focus on efficiency and reliability. From MLOps optimization to improving edge deployments, we solve the operational headaches that slow you down.
Enhance your team
with our AI experts
Tap into our team of specialists to supercharge your AI initiatives. Whether you’re training an in-house team or need external firepower, we help you get results faster and smarter.
How Our Clients Usually Start Working with Us
AI Discovery Workshop
1-2 days
Generate and evaluate ideas for AI use cases in terms of business potential and technical feasibility
Proof of Concept Project (PoC)
2-4 weeks
Validate an idea for an AI-based functionality or solution
AI Advisory Project
2-4 weeks
Improve how AI is implemented and operated following
a prioritized action plan based on an assessment of current practices and tools
AI Team Augmentation
Varies
Complement your team with advanced AI capabilities
to benefit from expert AI guidance or additional implementation bandwidth