We build document classifiers, chat assistants, and predictive models that plug into the tools your team already uses. No six-month onboarding. Most clients go live in under four weeks.
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Three categories of AI software cover about 90% of the requests we receive. Everything is trained on your data, deployed on your infrastructure or ours.
Invoices, contracts, medical records: our models extract structured data from scanned or digital documents with over 96% field-level accuracy. The system flags uncertain fields for human review instead of guessing.
Custom chat and voice agents grounded in your knowledge base. They answer product questions, schedule appointments, and escalate to a human when the conversation leaves their training scope. Average resolution rate across our deployments: 78%.
Demand forecasting, churn prediction, anomaly detection. We train models on your historical data and deliver a dashboard your operations team can interpret without a data-science degree. Typical training cycle: ten business days.
Every engagement starts with a one-hour discovery call. We ask about the data you have, the decisions you want to automate, and the systems your team relies on today.
Within five business days you receive a written scope document: data requirements, model approach, integration plan, timeline, and a fixed-price quote. No surprises at invoice time.
During development we share a staging environment so your team can test outputs against real scenarios. After launch, we monitor model performance for 90 days and retrain if accuracy drifts below the agreed threshold.
Most projects from kickoff to production take between three and six weeks, depending on data complexity and the number of integration points.
Numbers drawn from client deployments completed between January 2023 and March 2025.
Direct quotes, lightly edited for length.
"We were scanning invoices by hand into our ERP. Authentica built a pipeline that reads PDFs, matches line items to our SKU catalogue, and pushes entries into Sage 50. Took three weeks. Our accounts payable clerk now spends two hours a day on exceptions instead of eight hours on data entry."
Nathalie Gagnon
Operations director, Mobilier Laval Inc.
"Their chat assistant handles about 300 tenant questions a week for our property management company. Lease terms, maintenance requests, parking info. The bot knows our policies because they fine-tuned it on our actual documents."
David Okafor
CEO, Quartier Résidentiel
Book a free 30-minute call. We will ask about your data, your systems, and the outcome you need. If AI is not the right fit, we will tell you.
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