Custom AI Engineering
From concept to production — we design, build, and deploy custom AI systems that solve problems unique to your enterprise.
Our Process
A proven 6-phase methodology that takes your AI initiative from whiteboard to production.
We audit your data landscape, existing infrastructure, and business objectives. We identify where AI creates measurable value — not where it sounds impressive.
AI Opportunity Assessment with ROI projections.
Our architects design the system blueprint — model selection, data pipelines, integration points, security boundaries, and scaling strategy. Every decision is documented and reviewed with your engineering team.
Technical Architecture Document & project roadmap.
We build and train models in iterative development sprints with weekly demos so you see progress, not just status updates.
Trained models with benchmark performance metrics.
The AI system integrates with your existing stack — CRM, ERP, data warehouse, APIs. Rigorous testing: unit, integration, load, adversarial, and bias audits.
Fully integrated system in staging environment.
Production deployment with zero-downtime rollout, monitoring dashboards, alerting, and rollback procedures. We don't throw it over the wall — we deploy alongside your ops team.
Live production system with observability.
Post-launch model monitoring, drift detection, retraining pipelines, and performance optimization. Optional managed AI services for long-term operational support.
Monthly performance reports & continuous improvement.
We audit your data landscape, existing infrastructure, and business objectives. We identify where AI creates measurable value — not where it sounds impressive.
AI Opportunity Assessment with ROI projections.
Our architects design the system blueprint — model selection, data pipelines, integration points, security boundaries, and scaling strategy. Every decision is documented and reviewed with your engineering team.
Technical Architecture Document & project roadmap.
We build and train models in iterative development sprints with weekly demos so you see progress, not just status updates.
Trained models with benchmark performance metrics.
The AI system integrates with your existing stack — CRM, ERP, data warehouse, APIs. Rigorous testing: unit, integration, load, adversarial, and bias audits.
Fully integrated system in staging environment.
Production deployment with zero-downtime rollout, monitoring dashboards, alerting, and rollback procedures. We don't throw it over the wall — we deploy alongside your ops team.
Live production system with observability.
Post-launch model monitoring, drift detection, retraining pipelines, and performance optimization. Optional managed AI services for long-term operational support.
Monthly performance reports & continuous improvement.
Capabilities
Every engagement is custom. These are the categories of AI systems we build most often.
Forecast demand, churn, equipment failure, and market shifts using your historical data. We build models that don't just predict — they prescribe the optimal action.
Extract meaning from documents, emails, support tickets, and unstructured text at scale. From entity extraction to semantic search to document classification.
Automated visual inspection, object detection, medical imaging analysis, and document OCR. Production-grade pipelines that process thousands of images per minute.
Personalized product recommendations, content curation, and next-best-action engines that drive engagement and revenue. Built on your behavioral data, not generic models.
Enterprise chatbots, AI copilots, document summarizers, code generation tools, and workflow agents built on GPT-4, Claude, Llama, or fine-tuned open-source models. RAG pipelines, guardrails, and hallucination controls built in.
End-to-end workflow automation combining AI decision-making with RPA execution. Invoice processing, claims adjudication, lead scoring, and compliance monitoring — fully autonomous.
Technology
We're framework-agnostic and cloud-agnostic. We pick the right tool for the problem.
Case Studies
Real solutions. Measurable outcomes.
A regional health system was experiencing 18% 30-day readmission rates, costing millions in CMS penalties and poor patient outcomes.
A multi-variable predictive model analyzing 47 clinical and social determinants of health. Integrated directly into their Epic EHR workflow so care teams receive risk scores at discharge.
Python, XGBoost, Epic FHIR API, AWS SageMaker
High false positive rates in their fraud detection system were blocking legitimate transactions and losing merchants.
A custom ensemble model combining gradient-boosted trees with a graph neural network for transaction pattern analysis. Real-time inference under 50ms per transaction with adaptive thresholds per merchant profile.
PyTorch, Neo4j, Apache Kafka, Kubernetes, GCP Vertex AI
A precision parts manufacturer relied on manual visual inspection for defect detection, achieving only 82% accuracy with 3 full-time inspectors per shift.
A computer vision pipeline using custom-trained YOLO models for real-time defect detection across 14 defect categories. Camera integration on 3 production lines with an operator dashboard for exception handling.
PyTorch, YOLOv8, OpenCV, NVIDIA Triton, Edge on NVIDIA Jetson
Note: Specific client details anonymized to protect confidentiality. Metrics represent verified project outcomes.
Engagement
Flexible models that match your pace and risk tolerance.
4–6 weeks
Validate the AI opportunity with a working prototype using your real data. Includes feasibility analysis, model benchmarking, and a go/no-go recommendation.
Best for: Teams exploring a new use case before committing.
Fixed scope. Fixed price.
3–6 months
End-to-end design, development, and deployment of a production AI system. Phased delivery with milestone-based payments and weekly sprint demos.
Best for: Organizations ready to move from pilot to production.
Milestone-based. Dedicated team.
6–12+ months
We build the system AND run it. Includes ongoing model monitoring, retraining, optimization, and 24/7 operational support via our Managed AI Services.
Best for: Enterprises that want outcomes without building an internal MLOps team.
Monthly retainer. Full accountability.
Get Started
Tell us what you're trying to solve — we'll tell you how we'd build it.
Start a ConversationOr email us directly at contact@rsatech.com