Solutions > AI & ML

AI & Machine Learning

Custom predictive models and neural architectures designed for specialized industry needs and complex pattern recognition tasks.

Every agent is only as smart as the intelligence underneath it. We build that layer: models that read your documents, see your operations, predict what happens next, and generate work product.

92%

Fraud detection, live in production

Grounded

Cited answers from your data

Weeks

To first measurable outcome

Eval-first

Nothing ships unmeasured

Read, see, and hear

Document Intelligence

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Contracts, invoices, claims, and forms read in seconds, not hours, with every extracted field validated against your systems of record.

How it works

We combine AI Document Intelligence with Azure OpenAI to extract, classify, and summarize at production quality: layout-aware extraction, validation rules against your master data, confidence thresholds, and human review queues for the exceptions. The result is document work that flows instead of piling up.

Microsoft stack
AI Document IntelligenceAzure OpenAIPower Automate

Speech & Conversation Intelligence

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Every call transcribed, summarized, and mined for intent and risk, with consent and compliance built in.

How it works

Azure AI Speech converts calls and meetings into structured records: transcripts, summaries, action items, sentiment, and compliance flags. Contact centers get searchable conversation history; compliance teams get every interaction reviewable instead of a 2% sample.

Microsoft stack
Azure AI SpeechAzure OpenAIMicrosoft Purview
★ Flagship

Computer Vision & Inspection

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Defects, damage, and risk caught by camera instead of by complaint. Our automated damage detection for insurance claims runs in production at 92% fraud detection.

How it works

We train and deploy custom vision models on Azure for inspection and assessment: damage detection from photos, in-process quality inspection on the line, asset condition scoring from field imagery. Models ship with confidence routing, so clear cases flow automatically and edge cases go to a human.

Microsoft stack
Azure AI VisionAzure Machine LearningAzure OpenAI

Predict

Demand & Revenue Forecasting

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What to stock, staff, and promise, forecast at the level your operators actually plan at, and updated as signals change.

How it works

We build forecasting models that blend your transaction history with external signals such as weather, events, and seasonality, delivered where planners work: Fabric, Power BI, or directly into D365 planning. Accuracy is tracked against actuals every cycle.

Microsoft stack
Azure Machine LearningMicrosoft FabricD365 SCM

Churn & Retention

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The customers and students most likely to leave, flagged weeks earlier, with the next best action attached.

How it works

Retention models unify engagement, service, and transaction data to score attrition risk and recommend interventions, then measure whether the interventions worked, closing the loop most churn projects leave open.

Microsoft stack
Azure Machine LearningD365 Customer InsightsMicrosoft Fabric

Risk & Fraud Scoring

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Exposure scored continuously, so anomalies surface while there is still time to act, not in next month's loss report.

How it works

Transaction and behavior models score risk in real time, with explainable outputs your investigators and auditors can defend. Thresholds route the risky, clear the clean, and keep humans on the judgment calls.

Microsoft stack
Azure Machine LearningAzure Stream AnalyticsPower BI

Failure & Quality Prediction

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Equipment failures and quality escapes predicted from telemetry, and turned into scheduled work instead of 2 a.m. surprises.

How it works

We pair sensor and process data with machine learning to predict failures and defects, then wire predictions into D365 asset management and quality workflows so the insight becomes a work order.

Microsoft stack
Azure IoTAzure Machine LearningD365 Asset Management

Generate & assist

Grounded Knowledge Assistants

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Assistants that answer from your content with citations, built on the same knowledge layer (Foundry IQ and Azure AI Search) that powers enterprise agents.

How it works

We build retrieval-grounded assistants over your documents, policies, and data: agentic retrieval through Azure AI Search and Foundry IQ knowledge bases, answer citations your users can verify, and refusal behavior when the source material does not support an answer.

Microsoft stack
Azure AI FoundryFoundry IQAzure AI SearchAzure OpenAI

Engineering Copilots

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Internal copilots for your developers and analysts, tuned to your codebase, standards, and data models.

How it works

We stand up development assistants grounded in your repositories and standards, from code explanation and migration help to SQL and semantic-model assistance for analysts.

Microsoft stack
GitHub CopilotAzure OpenAIAzure DevOps

Content & Report Generation

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First drafts of reports, proposals, and correspondence generated from your data and templates, so experts edit instead of assemble.

How it works

Generation pipelines pull from governed data and approved templates to draft the recurring documents that consume your teams: board packs, client reports, RFP responses, and case summaries.

Microsoft stack
Azure OpenAIMicrosoft FabricSharePoint

Built on Azure AI Foundry, run like software

One Platform, Every Model

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Frontier and open models side by side on Azure AI Foundry, chosen per task on quality and cost, never locked to one vendor's roadmap.

How it works

Azure AI Foundry gives us a governed model catalog, agent service, tracing, and safety tooling on one platform. We benchmark models per use case and swap them as the market moves.

Microsoft stack
Azure AI FoundryAzure OpenAIModel Context Protocol

MLOps & Drift Management

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Models that stay accurate on their own, with self-running pipelines that retrain, monitor, and roll out safely.

How it works

We operationalize the full lifecycle: automated training pipelines with data validation, a model registry with staged rollout, autoscaling inference, and drift detection that triggers retraining.

Microsoft stack
Azure Machine LearningMLflowAzure Kubernetes Service

Evaluation-First Delivery

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If we cannot measure it, we do not ship it. Every assistant and model passes an evaluation suite before it reaches a user.

How it works

We build evaluation sets from your real cases and score every change against them: accuracy, groundedness, safety, and cost. Releases are promoted on evidence.

Microsoft stack
Azure AI FoundryAzure Machine LearningAzure DevOps

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