We design and operate AI workflows that turn external web data into predictions, classifications, and intelligent automation. No black boxes — every model we ship is grounded in data your team can inspect, evaluate, and trust.
Four categories of work we deliver to B2B teams. Each engagement is custom-built around your data sources, business question, and delivery stack.
Streamline operations with intelligent workflows. We build custom automation that reduces manual effort, boosts efficiency, and frees your team to focus on high-value work — grounded in data your business already trusts.
Targeted autonomous agents that retrieve, analyze, and act on information in real time. Each agent is scoped to a specific business task — not a generic chatbot — with clear boundaries, evaluation, and human-in-the-loop where it matters.
Anticipate trends and behavior with bespoke predictive models. Our data scientists develop, train, and deploy models that forecast demand, detect patterns, and surface the core drivers behind your business metrics.
Leverage Large Language Models to analyze unstructured data, generate high-quality content, and drive intelligent automation. RAG workflows, custom assistants, and classification pipelines — grounded in your business data and our collected web data.
Our methodology is rooted in deep technical expertise and uncompromising customization. We don't offer off-the-shelf software; we engineer scalable, tailored pipelines that integrate seamlessly into your operations.
What sets Mint Data apart is our commitment to fully customized, end-to-end AI solutions. We combine the flexibility and personalized attention of a boutique firm with the robust technical capabilities of a high-end data consultancy. This means we don't just apply AI — we engineer intelligent data products that precisely fit your unique business needs and deliver tangible, measurable results. Our promise is precision, adaptability, and a proven ability to turn complex data needs into strategic advantages.
Partner with us to transform data into your most powerful engine for innovation and growth.
Make decisions with confidence, backed by highly accurate and refined data outputs.
Automate time-consuming tasks and optimize your operational workflows for greater productivity.
Uncover deep market insights, predict trends, and stay ahead of the competition.
Transform your data into a powerful engine for innovation, expansion, and profitability.
Three representative AI engagements. Full case studies coming soon — meanwhile, ask us about any of these during a discovery call.
Built a Retrieval-Augmented Generation workflow grounded in client data and our collected web data — delivering cited, traceable answers with strict evaluation gates.
Full case study coming soonDeveloped a custom ML model trained on cleaned web data and client historical data — replacing a generic off-the-shelf forecast that wasn't capturing market signals.
Full case study coming soonDeployed an LLM-powered classification pipeline processing thousands of records per day — with human-in-the-loop QA on edge cases and continuous evaluation.
Full case study coming soonSeven questions buyers usually ask before a first AI engagement.
We design and operate AI solutions built on top of clean, reliable web data. Our work spans AI automation, predictive ML models, LLM-powered applications, and custom AI agent development — always tailored to your specific data sources, business question, and delivery format.
We deliver AI outputs the way your team consumes data: webhook, S3, BigQuery, Snowflake, Postgres, Google Sheets, CRM, or custom API. Models, predictions, and AI-generated content land where you need them, in the format your stack expects.
Both. When a pre-trained model fits the problem — classification, entity extraction, summarization — we use it. When the use case requires domain-specific behavior, we fine-tune or train custom models on your data and our collected web data. We always recommend the most pragmatic approach, not the most complex one.
Most AI engagements start with web data collection. We're uniquely positioned because we own the data pipeline end to end — from source analysis and extraction to cleaning, enrichment, model training, and delivery. This means no integration friction between data team and AI team.
AI models degrade as the underlying data and business context change. Our managed service includes monitoring, retraining triggers, and periodic evaluation. When model performance drops, we retrain, re-evaluate, and redeploy — without requiring a new project engagement.
Yes. We build RAG (Retrieval-Augmented Generation) workflows, custom assistants, and LLM-powered applications grounded in your business data and our collected web data. We handle prompt engineering, retrieval design, evaluation, and delivery — not just the model call.
Most AI engagements move from first conversation to a working prototype or proof of concept in 3–6 weeks, depending on data availability, model complexity, and integration requirements. Full production deployments typically require 6–12 weeks. We share a clear timeline before any work begins.
Contact us to discuss your custom project and discover how Mint Data can empower your strategic growth — no pitch, no slides.
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