Machine Learning & AI Consulting

We help businesses integrate practical, production-ready machine learning and AI capabilities — from LLM-driven automation to classical predictive modeling, embeddings, and computer vision.

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What We Deliver

LLM Integration — Integrate major providers (OpenAI, Anthropic, Google, etc.) or deploy private/local models for maximum data control.
Knowledge Base Search & RAG Systems — Embed documents, databases, and internal knowledge so LLMs can answer accurately and contextually.
Agent & Workflow Automation — Use LLM-based planners and tool controllers to automatically execute multi-step business workflows.
Predictive Modeling — Demand forecasting, churn modeling, trend prediction, anomaly detection, and more.
Speech-to-Text Pipelines — Accurate transcription with Whisper or cloud STT, designed for structured output and downstream processing.
Computer Vision — Object detection, tracking, classification, OCR, and video analytics using PyTorch, YOLO, or custom models.
Intelligent Automation — Replace repetitive human tasks with ML-powered processes tailored to your workflows.
ML Data Pipelines — Ingestion, cleaning, ETL, embeddings, vector databases, and feature engineering for reliable ML operations.

Why It Matters

Machine learning lets businesses automate decision-making, eliminate repetitive work, and uncover insights hidden within their data. When implemented correctly, ML becomes a force multiplier — improving accuracy, reducing costs, and unlocking new capabilities.

Benefits

Automation that reduces manual workload
Accurate real-time predictions and insights
Better decision-making across teams
Operational efficiency and faster workflows
Improved customer experience through personalization
Stronger competitive position through modern AI technologies

Our Process

Clear, transparent, and outcome-driven.

1. Analysis & Feasibility

We evaluate available data, identify the right ML opportunities, and determine ROI.

2. Data Preparation & Embeddings

We clean, process, and embed your data so it can be searched, analyzed, and used by models effectively.

3. Model Selection

We choose the best existing LLMs, open-source models, or classical algorithms based on performance, cost, and constraints.

4. Custom Modeling

When no existing model fits, we train purpose-built models tailored to your specific use case.

5. Prompt Engineering & Optimization

We create structured prompt pipelines that adapt to your workflows and reduce hallucination.

6. Deployment & Integration

We integrate ML systems into your software, automations, APIs, and business tools.

7. Agent & MLOps Integration

We implement modern MCP-style agents connected to your tools, with monitoring, versioning, and scalable MLOps workflows.

Ready to Get Started?

Let’s build something meaningful together.