Empowering Your Business
with LLM Solutions

LLM Guidance and Advisory

Our approach starts by identifying the most impactful use cases, prioritizing those that deliver the greatest competitive advantage
or the highest value to your users and business.

LLM Solution Benchmarking Framework

We guide implementation or assess your solution’s architecture, focusing on autonomy, user interaction, latency, privacy, security, and integrations.

Deep-Dive Scoping Workshop

We conduct a thorough workshop to define your
business objectives, outline user stories, and plan
the implementation process.

These steps lead us to a comprehensive solution design,
leveraging best practices and LLM patterns.

LLM Solution Development

We design and develop LLM systems tailored to your business and technical needs, leveraging proven patterns for optimal results. Here’s how we approach LLM solution development:

Retrieval-Augmented Generation (RAG)

RAG enhances LLM outputs by integrating external data sources, providing insights, and enabling seamless data fusion. This approach is ideal for implementing:

  • AI Assistants
  • Recommendation Engines
  • Decision Support Systems

Our deep expertise, rooted in the deepsense.ai-originated stack, includes specialized tools that accelerate the development of RAG systems. These tools offer ready-made building blocks, allowing for rapid and efficient deployment
of RAG applications.

Agentic Systems and AI Copilots

Our team develops autonomous AI agents capable of performing complex tasks with minimal human intervention. These systems extend the capabilities of LLMs, enabling
them to complete entire workflows and solve complex problems. Ideal applications include:

  • AI Copilots
  • Next-Gen NLP Models
  • Multimodal Systems
Code and Content Generation Tools

We create AI-powered tools that automate code and
content generation, boosting productivity and democratizing tasks that traditionally required specialized expertise.

LLM Experts as Team Augmentation

Our team of LLM experts seamlessly integrates with your development teams, bringing specialized knowledge and hands-on experience in the latest AI technologies. With a proven track record in open-source contributions, our experts not only deliver high-quality solutions but also actively support AI R&D initiatives. 

Boost Your AI Team’s Capacity

Whether you need to scale quickly, enhance your in-house skills, or set AI best practices, we provide the support to accelerate your success.

  • Rapid Team Scaling
    Quickly scale up your engineering team to meet growing demand during periods of traction.
  • Team Extension by Experts
    Leverage seasoned AI professionals to enhance your team’s capabilities and capacity.
  • AI Guidance and Enablement
    Benefit from projects designed to kickstart your AI initiatives or establish robust standards.
ragbits | Modular Toolkit for LLM Apps

ragbits, our own open-source stack for rapid Generative AI app development. Its modular design ensures flexibility and scalability with key features like:

  • Document Search: Accurate vector retrieval with benchmarking.
  • Conversations: Tracks histories and gathers feedback.
  • Flow Controls: Manages multi-stage workflows.
  • Structured Querying: Queries data using db-ally integration.
  • Response Caching: Reduces costs and latency.
  • Observability & Audit: Tracks events for issue resolution.
  • Guardrails: Ensures safe and relevant responses.
db-ally | Framework for RAG and LLM Apps

db-ally is a framework for building robust structured data retrieval for your RAG pipeline or standalone LLM app. Built by engineers for engineers with production in mind, it easily integrates with your existing code base.

  • Chatbots: Let the users chat with your databases and get the information they need in real-time.
  • RAG Pipelines: Use db-ally as a RAG component on structured data sources. Retrieve data with natural language queries.
  • Agentic Systems: Empower your AI workflows with LLM interface to structured data sources

Learn more about db-ally framework here.

Our LLM State-of-the-Practice

LLM Guidance and Advisory

130% Improvement with AI Appointment Scheduling

130% Improvement with AI Appointment Scheduling

Our automated solution increased the conversion rate from 10% to 23%, significantly improving the efficiency of the appointment scheduling process.

Accelerating AI Strategy and Product Development

Accelerating AI Strategy and Product Development

In a 3-week project, we reviewed their machine learning practices, including MLOps, to boost efficiency.

Exploring LLM Agents  for Innovation with Tailored LLM Workshops

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 Workshop for a Global Corporation

LLM Workshop for a Global Corporation

The workshop offered business-focused sessions on LLM opportunities and technical deep dives for engineers.

LLM Solution Development

Enhancing In-Silico Drug Discovery with  a Multimodal LLM

Enhancing 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.

GenAI-Powered Frontline Worker Assistant

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…

Enhancing Intent Detection with GenAI  for Automated  Customer Insights

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

Scaling AI Innovation for a Silicon Valley Startup with LLM Solutions

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.

Boosting Device Performance by 10x with Edge AI and CV

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.

AI-Powered Content Quality Transformation

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…

Bill Salak

Tom Bianculli

M. Anthony Aiello, Head of Product & Innovation at AdaCore

M. Anthony Aiello

Brian S. Raymond

Providing guidance and delivering tailored AI solutions that give you a competitive advantage.

200

120

10

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.

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.”

Embedded AI 

in your products

Apply AI to your
business operations

Elevate your
AI operations

Enhance your team
with our AI experts

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