AI Data Science Solutions: You Know What You Need Built. We Build It.

Custom AI Models, Data Pipelines, Predictive Analytics, and Agentic Systems

You’ve moved past “should we use AI?” You have a specific problem — predict churn, automate a workflow, build a custom chatbot, extract insights from unstructured data — and your team doesn’t have the data science bandwidth to build it. Our AI data science solutions are for exactly this situation.

Trust Insights builds custom AI and data science solutions grounded in your data, validated by your team, and designed to actually make it to production. We don’t sell off-the-shelf products. We build what you need, document how it works, and make sure you can run it after we leave.

Does This Sound Like Your Situation?

You have the problem defined. You need the solution built.

You Need Predictions, Not Just Reports. Your dashboards show what happened. But leadership wants to know what’s going to happen — which leads will close, which customers will churn, which campaigns will perform. You need predictive models, not more bar charts.

You Want a Custom AI Application — Not Another SaaS Subscription. ChatGPT is useful for generic tasks. But you need an AI application trained on your data, following your rules, integrated into your workflow. A custom GPT, a RAG pipeline, or an agentic system that does real work.

You’re Sitting on Customer Data You Can’t Use. Survey responses, support tickets, social mentions, email threads — you have mountains of qualitative data that could tell you exactly what customers want. But nobody has the NLP expertise to extract the signal from the noise.

Your Data Science Needs Outpace Your Team. You might have one analyst or a small data team, but the project backlog is months deep. You need specialized data science expertise for a focused engagement — not another full-time hire.

AI Data Science Solutions We Build

Custom AI/ML Model Development

Predictive lead scoring, churn prediction, demand forecasting, classification models, NLP-based text analysis, recommendation engines — built on your data, validated against your business outcomes, and designed for production deployment. Every model comes with documentation, validation metrics, and a handoff plan so your team can maintain it.

AI Transforms This: Modern foundation models enable faster prototyping and more accurate predictions from smaller datasets. We combine traditional ML rigor with 2026-era AI capabilities to deliver production-ready models in weeks, not months.

Question: If you could predict one business outcome 90 days in advance, what would it be — and what would you do differently?

Custom GPTs & RAG Applications

Off-the-shelf AI tools don’t know your brand voice, your product catalog, your compliance requirements, or your internal processes. We build custom GPT applications powered by Retrieval-Augmented Generation (RAG) — AI that draws on your documents, your data, and your rules to produce outputs that are actually useful. Customer-facing chatbots, internal knowledge bases, content generation tools, and research assistants.

AI Transforms This: RAG architectures in 2026 are dramatically more reliable than first-generation chatbots. We build with guardrails, source attribution, and confidence scoring so your team trusts the output.

Question: What question does your team answer 50 times a week that an AI system could handle with 95% accuracy?

Agentic AI Systems

The next evolution beyond chatbots: AI systems that can plan, execute, and iterate autonomously. Agentic AI handles multi-step workflows — research, analysis, content creation, data processing — with human oversight at decision points. We design and deploy agentic systems that automate complex processes while keeping humans in the loop where it matters.

AI Transforms This: Agentic AI in 2026 enables workflows that would have required entire teams just a year ago. We build systems with proper safety rails, audit trails, and escalation logic — not just “let the AI run free.”

Question: What 10-step process does your team repeat every week that could be reduced to a 1-step review?

Predictive Analytics & Forecasting

Move from “what happened” to “what will happen.” We build forecasting models for marketing performance, sales pipeline, customer behavior, content performance, and seasonal demand. Each model is validated against historical data, stress-tested for edge cases, and delivered with confidence intervals — not just point estimates.

Question: Are you making next quarter’s budget decisions based on predictions — or on last quarter’s actuals plus a gut feeling?

Data Mining & Voice of Customer Analysis

Your customers are telling you exactly what they want — in surveys, support tickets, reviews, social media, and email. The problem is volume: no human can read 50,000 support tickets to find the pattern. We use NLP, topic modeling, and sentiment analysis to extract actionable insights from unstructured data. The result: a clear picture of what your customers care about, what’s frustrating them, and where the opportunities are.

Question: When did you last read a statistically meaningful sample of your customer feedback — not just the loudest complaints?

Who This Is For

Marketing Operations & Data Teams

You know what you need — a lead scoring model, a churn predictor, a content recommendation engine — but you don’t have the ML engineering bandwidth. You need someone to build it, validate it, and hand it off so your team can run it.

Product Leaders & Innovation Teams

You’re building AI into your product or workflow and need a partner who can prototype, validate, and deploy — fast. You need hands-on data science and AI engineering, not a strategy deck.

What Makes Trust Insights Different

Vendor Conflicts of Interest

We don’t resell AI platforms. We recommend what’s right for your use case.

100%

Documented & Transferable

Every model, pipeline, and system comes with documentation. You own it. You can run it.

Phase Delivery Process

Scope, Build, Validate, Deploy. No surprises, no scope creep, no vanishing act.

Co-Founders on Every Project

Katie (strategy & process) + Chris (data science & AI). You get both perspectives.

The Moral of the Story

The gap between “we have data” and “we’re using AI effectively” isn’t a tool problem — it’s a build problem. You need someone who can take your specific data, your specific question, and build a system that answers it reliably. Not a demo. Not a proof of concept that never ships. A production-ready solution your team can trust and maintain. The best AI project is the one that actually makes it to production.

Ready to Build?

Tell Us What You Need — We’ll Scope It in a Free Consultation

Describe the problem, the data you have, and the outcome you’re after. We’ll tell you what’s feasible, what it takes, and whether we’re the right fit.

Book Your Free Consultation