Innovative and Pragmatic AI Solutions

Tailored AI/ML solutions for organizations of all sizes.
Enterprise AI strategy, deep learning models and MLOps management.

Enterprise AI Strategy

Accelerate your enterprise AI journey with AI Strategy Canvas, our visual framework that transforms complex strategies into actionable roadmap with tangible results.

Custom AI/ML Models

Experience the full potential of AI/ML with the solutions tailored to address your specific business needs and challenges, and help you transform the way you operate.

Use our comprehensive approach to avoid accumulation of technical debt and to ensure that your MLOps are optimized, robust, efficient, and scalable.

MLOps Management

Enterprise AI Strategy Canvas

Shrink-wrapped consulting service offering designed to help organizations create AI strategy efficiently and effectively. This approach streamlines the traditional strategy development process, reducing time and costs while minimizing risks.

You are not alone

As a leader responsible for developing AI strategy, you face a daunting task. You might be asking:

• "How can we efficiently create a robust AI strategy?"

• "What steps can we take to avoid costly missteps?"

• "How can we ensure our AI initiatives align with our business goals?"

If this sounds like you, you're not alone. We know how complex and resource-intensive it can be to navigate AI strategy development.

That's why we offer to guide organizations through this process.

What exactly do we do?

We use Business Model Canvas or Mission Model Canvas framework to help you create Enterprise AI Strategy Overview.

We leverage a library of business models to generate hypotheses and test ideas using pre-defined discovery experiments.

We evaluate candidate solutions complexity, risks, and unknowns using expanded BCG AI Technology Rolodex and Wardley maps.

We apply Value Proposition Canvas (VPC) to assess beneficiary value and estimate user satisfaction via Customer Journey Maps.

Our Canvas is communicated in business terms and offers a visual and collaborative process tailored for non-technical users.

Our AI Technology Rolodex has info on latest AI/ML R&D trends, so you will understand all your options before making strategic choices.

Wardley maps and VPC allow for quick comparison of alternatives and technology-aware, fact-driven and outcome-focused decision making.

Finally, quick prof-of-concept can validate selected direction before the organization commits to major investments.

What sets us apart?

Custom AI/ML Models

Leveraging years of expertise in content management, classification, knowledge extraction, agent development, workflow, and electronic records management, I offer specialized AI model development designed to meet unique needs of modern enterprises.

Small Language Models (SLMs)

This involves crafting of lightweight, efficient language models tailored for specific applications (typically in edge computing), that require high performance with minimal computational resources.

SLMs are optimized for various use cases, including text summarization, sentiment analysis, and language translation.

Domain Specific Models

Development of domain-specific AI models typically involves fine-tuning of Large Language Models (LLMs) to address unique needs of specific industries such as healthcare, finance, legal, oil & gas, etc.

Higher relevance of results required for professional use is achieved by integrating domain-specific knowledge and datasets.

Design and deployment of intelligent chatbots that offer personalized, responsive, and efficient customer service across various platforms, improving your clients' satisfaction and loyalty.

These models make use of advanced natural language processing (NLP) techniques to enable seamless, context-aware conversations.

Enterprise Chatbots

MLOps Management

While AI/ML offer transformative potential, maintaining and optimizing these systems is fraught with challenges. Organizations often face complex technical debt unique to ML systems and issues like feature entanglement, data dependencies, and feedback loops

Our MLOps service will help you overcome these challenges. We follow a structured process:

• Initial Assessment: Identifying areas for improvement in ML workflows, infrastructure, and processes

• Process Design: Collaborative development of a custom MLOps strategy aligned with business goals

• Implementation: Selection and configuration of tools, development of processes, and staff training

• Optimization: Ongoing support for performance and reliability improvement, monitoring, troubleshooting, and additional training

Effective MLOps Management

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