OffNote Consulting Labs was founded by Dr. Nishant Sinha in 2016. We have several years of experience building/training neural models and applications, architecting solutions, deploying AI-driven SaaS solutions and mentoring machine learning teams.

Build for Clients

Over the past decade, we’ve had the opportunity to collaborate with a range of enterprises and startups to design and implement AI-powered (machine/deep learning) solutions, leveraging our expertise in text, vision, and speech domains.

In recent past, we’ve helped several clients build RAG solutions for natural language based search/recommendations and conversational systems for automation.

  • Created and deployed end-to-end RAG systems for natural querying:
    • heterogeneous (text/image/tables) document parsing/ingestion
    • multimodal, multi-vector embeddings for finding relevant documents
    • text and multimodal Large Language Models (LLMs) for query understanding, rewriting and response generation.
    • conversational search
    • scaled over millions of documents using traditional and vector databases.

We excel at transforming ambiguous specifications to a clean, modular design of complex AI-powered SaaS systems. Our design philosophy:

  • Plan the system as a whole before optimizing the parts.
  • Start with a minimalist architecture and incrementally add functionality, ensuring that each iteration aligns with your business metrics and end-user expectations.
  • Partner closely with the client team on implementation, offering expertise and guidance throughout the process, ensuring successful implementation and deployment.

Highlights from our Consulting Portfolio

  • Led development and deployment of open-domain semantic search and QA platform for a mid-scale startup, leading to onboarding of multiple Fortune 500 clients.
  • Laid foundation for the AI search and recommendation systems for multiple startups.
  • Data extraction from millions of unstructured mortgage documents for a Fortune 500 company. Scalable, cloud-based, data ingestion, online training, deployment pipeline.
  • Leading the development of image-based, automated design extraction and synthesis system and IP for a large Asia-Pacific company.
  • Developed a system and IP for real-time language identification from speech, for a private international education company, with a presence in more than 100 countries.
  • Scalable, fine-grained visual search for improving retail in-store analytics and inventory management for a large US-based retail intelligence firm operating in more than 50 countries.

Engagement Modes

We support a few different engagement modes.

Project-Based

Best for: Clients with specific, well-defined projects and clear objectives, for example, system design and implementation.

How it works: We collaborate with the client to deliver a predefined set of deliverables within a specified timeline. Pricing is typically fixed based on project scope and timelines.

Retainer-Based

Best for: Clients who require ongoing or long-term support, regular consulting, or regular access to experts.

How it works: The client pays a fixed monthly fee for a set number of hours per week for support and consultation. The retainer can also cover proactive services such as continuous monitoring or periodic updates.

Hourly/Time-Based

Best for: Clients who need tailored, timely support or advice. For guidance on steering the project in its early stages, brainstorming sessions or focused, short-term objectives.

How it works: Clients can request consulting services on an as-needed basis by purchasing a block of hours upfront.

Contact

We are always eager to hear from you and assist in any way we can. If you’re looking to execute a new AI project around RAG/LLMs, wondering how best to integrate Generative AI tools for business automation or even hitting a technical roadblock on an existing project, do not hesitate in reaching out to us. Your challenges are our opportunities to provide support, and we’re excited to collaborate with you to find the best solutions. Let’s connect!

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