Taliferro
Tailored AI and predictive analytics

Your data is already making decisions

The question is whether you are

Every missed pattern, delayed forecast, or manual judgment is a decision made by default. Taliferro builds machine learning systems that turn data into predictions, recommendations, and actions your team can use.

TL;DR We help teams ship AI— from strategy to working models. Predict who will respond, when to follow up, what to recommend, and where to automate.

Predictive analytics NLP Computer vision Custom models + integration
Problem → clarity

Are you struggling to make sense of your data?

Right now, decisions that could be predictions are being made by default: a rep guesses which leads to call first, a planner orders inventory based on last month's gut feeling, a support queue gets triaged in the order tickets arrived instead of the order they matter.

  • What a model actually replaces. Not intuition — inconsistency. The same rep might prioritize leads well on a good day and poorly on a rushed one. A model applies the same judgment every time, on every lead, without getting tired by the two-hundredth one.
  • Explainable, or it doesn't ship. If nobody on your team can say why the model flagged something, they won't trust it, and they'll quietly stop using it. We build models people can question, not just consume.

A prediction is only useful before the fact.

A churn forecast that arrives after the customer already canceled isn't a forecast — it's a postmortem. The bar for a model isn't accuracy on a slide. It's whether the prediction shows up in time to change what happens next.

Services

AI & machine learning services

We build toward a specific decision you're already making by hand — who to call first, what to flag for review, what to reorder — and design the model around that decision, not around the data for its own sake.

Predictive analytics

Propensity scoring · forecasting

  • Who is likely to respond
  • Churn / retention risk
  • Demand and capacity forecasting

Natural Language Processing (NLP)

Classification · summarization · RAG

  • Ticket and email triage
  • Document summarization
  • Search and retrieval for internal knowledge

Computer vision

Detection · OCR · quality checks

  • Image and document extraction
  • Defect / anomaly detection
  • Automation for visual workflows

Custom models & integration

APIs · data pipelines · MLOps

  • Model deployment and monitoring
  • Secure integrations with your systems
  • Data prep, feature design, and evaluation
Video

Seeing the world through smarter eyes

Discover how other businesses are using machine learning to grow.

FAQs

Common questions

Do I need AI or Machine Learning consulting?

Use AI consulting when you need strategy, use‑case discovery, and rapid prototypes. Use Machine Learning consulting when you’re ready to build predictive models (classification, regression, NLP, computer vision) that integrate with your systems.

How long does an AI project take?

Discovery 1–2 weeks, prototype 2–6 weeks, pilot 4–8 weeks depending on data access and integration complexity.

What data do we need?

Start with what you have: CRM/email events, product usage, tickets, spreadsheets. We assess quality, fill gaps, and design features that drive accurate models.

How do you measure success?

Business outcomes first: reply rate, retention, conversion, hours saved. We track model metrics (AUC, MAE) but optimize for revenue and efficiency.

Why it matters

Machine learning is only useful when it changes execution

We give AI and machine learning work a practical frame: what should happen next, who should act, what gets measured, and where momentum is breaking down.

Related services

Where ML work usually leads