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AI Model Training & Fine-Tuning Services Built Around Your Data

Fine-tune large language models on your domain-specific data — so your AI delivers smarter, context-aware, and industry-accurate conversations from day one.

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We specialise in LLM fine-tuning and AI model training that adapts foundation models like GPT and BERT to your terminology, tone, and user intent. Whether you operate in finance, healthcare, law, or eCommerce, we build custom training pipelines using curated datasets and real-world feedback loops — so your AI speaks your language, understands your users, and improves over time.

Success Stories

We’ve helped startups and enterprises use AI to cut costs, increase efficiency, and deliver superior customer experiences.

Freestak success story

Instagram-Facebook API Integration (Freestak.com)

Freestak, a marketplace for endurance influencers, wanted to integrate key insights coming from marketing campaigns with their associated influencers. Freestak required obtaining post data and engagement metrics of posts, stories and reels of Instagram influencers.

Loop success story

Food Ordering Scraper (DoorDash, UberEats, Grubhub)

Our client needed merchant-side data of orders coming to restaurants through 3 major ordering companies (DoorDash, Uber Eats, and Grubhub). We were required to implement a smart algorithm to retrieve such a huge volume of information and prevent blocking, duplication, and other problems.

Battery Tender success story

Natural Language Database Lookup System (dbGPT)

We created an intelligent lookup system (using the OpenAI) that can understand natural language prompts and convert them into SQL queries to retrieve the required information from a database.

Airpaz success story

Skyfare (FlyGPT)

We created a web application that asks users for their desired trip and uses chatGPT to find the best possible flights from all the airlines and agents. The user can also choose to mention the specifics of the tickets they need, like price range, airlines, and date(s) of traveling.

Industries We Have Served

Our AI model training services are tailored to meet your industry’s precision demands. We fine-tune performance where it matters most: language accuracy, compliance, and intent recognition.

  • Finance

    Fine-tuned AI that understands financial terms, detects anomalies, and provides secure, personalized assistance.

  • Healthcare

    HIPAA-ready models trained on medical data to support symptom checks, patient communication, and appointment handling.

  • E-commerce

    Customized models that power personalized product suggestions, customer service, and behavior-based recommendations.

  • Legal

    AI trained to comprehend legal language, assist with document reviews, and guide users through complex legal workflows.

  • Education

    Fine-tuned AI tutors that adapt to learning styles, answer student queries, and generate tailored academic content.

Our Training Framework

We use a systematic, quality-first process to ensure your AI models are optimized for performance, scalability, and business relevance.

  1. Data Collection & Preprocessing

    We gather your internal knowledge base documents, support chats, FAQs, CRM logs and clean and structure the data for high-quality model input.

  2. Model Selection

    We evaluate and select the right base model (GPT, BERT, etc.) based on your use case, domain complexity, and business goals.

  3. Training & Fine-Tuning

    We fine-tune the model using your data, optimize for tone and terminology, and test rigorously for accuracy and bias mitigation.

AI Tech Stack We Work With

  • JavaScript
  • Python
  • TypeScript
  • FastAPI
  • LangChain
  • OpenCV
  • PyTorch
  • scikit-learn
  • Streamlit
  • TensorFlow
  • AWS
  • Azure
  • GCP
  • Docker
  • Kubernetes
  • Oauth
  • SSL / TLS
  • Google Vertex AI
  • OpenAI
  • Botrpess
  • Dialogflow
  • Twilio / Whatsapp APIs
  • Voiceflow
  • Amazon Sagemaker
  • MLflow

Our Clients

We helped companies globally, from e-commerce to SaaS, make smarter, faster decisions by building a reliable data infrastructure.

  • First List Logo
  • Gung Ho Logo
  • Toast Logo
  • babr
  • Redpoint Logo
  • kaemark-logo
  • ap
  • battery-tender
  • stanley-venture-logo
  • m4m
  • loop
  • 3d-connect-logo
  • august-logo
  • calm-venture
  • Lovey Prints Logo

Frequently Asked Questions

AI model training services help businesses build or improve AI models using their own data. This can include data preparation, machine learning model training, supervised fine-tuning, testing, deployment, and monitoring.

AI model training builds a model from the ground up. Fine-tuning adapts an existing model for a specific task. For most business use cases, LLM fine-tuning services are faster and more cost-effective.

A simple project to fine-tune an LLM can take 1 to 2 weeks. Larger projects with complex data, testing, or integrations may take several weeks.

We can train or fine-tune LLMs, chatbots, predictive models, recommendation engines, text classification models, computer vision models, and forecasting models.

AI model training cost depends on the data size, model type, cloud usage, and project complexity. Fine-tuning is usually more affordable than full custom AI model training because it starts from an existing model.

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