A grounded assistant
A support or knowledge team that needs an AI assistant answering from its own data, with citations.
CH.03 · DATA-AI
Data & AI Solutions
Turning data into decisions — pipelines, models, and dashboards that move information reliably and put intelligence where it actually changes an outcome.
Our thesis, in one division: from signal to intelligence.
This division builds the data foundation, the models on top of it, and the surfaces people use to act. We engineer reliable pipelines first, because a model is only as good as the data feeding it — then apply machine learning and language models where they produce measurable value.
AI here is applied, not ornamental. Every model is tied to a decision, evaluated against real outcomes before it ships, and monitored for drift once it is live. One capability among six — deployed because it works, not because it is on the roadmap.
Service lines
Foundation, models, and the decisions on top.
CH.03 / 01
Custom LLMs
Fine-tuned and retrieval-augmented language models built for your domain and wired into real workflows — grounded in your data, evaluated before release, and governed in production.
- Retrieval-grounded, cited answers
- Domain fine-tuning where it helps
- Evaluated against a real test set
CH.03 / 02
Predictive Modeling
Forecasting, classification, and optimization models that turn historical signal into forward-looking decisions — demand, churn, risk, and recommendation, tied to a metric that matters.
- Models tied to a business outcome
- Honest validation, no leakage
- Monitored for drift in production
CH.03 / 03
Big Data Engineering
Pipelines and warehouses that ingest, transform, and serve data reliably at scale — batch and streaming — so analytics and models run on inputs you can trust.
- Reliable ingestion and transformation
- Batch and streaming pipelines
- Governed, documented data
CH.03 / 04
BI Dashboards
Decision-ready dashboards that surface the few metrics that matter, in real time, to the people who act on them — built on a clean semantic layer, not a pile of ad-hoc queries.
- Metrics defined once, used everywhere
- Real-time where it counts
- Built for the decision, not the demo
Where it fits
Typical situations this division is built for.
USE / 01
USE / 02
Forecasting demand
An operation that wants to predict demand, churn, or risk instead of reacting to it after the fact.
USE / 03
Live BI, not spreadsheets
Leadership making decisions on stale exports, ready for dashboards that reflect the business now.
Ready to build on this?
Tell us what you need and we will scope it — on its own or combined with the divisions around it.