- Seven Service Lines

Production systems, shipped with an SLA attached.

Every engagement scopes to your infrastructure, deploys to your environment, and runs under a signed SLA. We own the outcome, not just the model.

/ Pre-built APIs - Catalogue

NLP

Vision

Analytics

Natural Language Processing

Computer Vision

Predictive Analytics

Document classification, entity extraction, and semantic search pipelines—deployed to your stack with P99 latency targets in the SLA.

Object detection, defect identification, and real-time video inference running in your data center or cloud VPC with guaranteed throughput.

Demand forecasting, churn prediction, and risk scoring models embedded directly into your data warehouse with monitored drift detection.

Recommendations

Recommendation Systems

Collaborative and content-based engines built for your catalog scale, with A/B testing infrastructure and revenue-lift measurement baked in.

/ Managed AI Solutions - Catalogue

Automation

AI-Driven Automation

Workflow automation and intelligent routing systems that replace manual queues—delivered with rollback procedures and production runbooks.

Programmatic SEO architectures and semantic ranking systems that replace manual content queues—delivered with algorithmic health monitoring and localized performance runbooks.

Automated SEO & Growth

Programmatic SEO & Growth

Advisory & Consulting

AI Consulting and Roadmapping

Technical scoping, build-versus-buy analysis, and infrastructure readiness audits—every engagement ends with a deployment plan, not a slide deck.

+ Engagement Model

Four steps from scope to monitored production

SLA Commitments

99.9% uptime — guaranteed, contractual.

P99 API latency targets — published per service.

We scope your infrastructure, agree on measurable outcomes, build under a signed SLA, and hand over a live system with a dedicated on-call contact.

Incident response — under 15 minutes, 24/7.

NDA on first contact — no exceptions.

Step 1 — Infrastructure audit and gap analysis.

Step 2 — Scoped proposal with SLA terms and delivery milestones.

These are contract terms, not marketing targets. If we cannot commit to the metric, we decline the engagement.

Step 3 — Build, test, and staged rollout inside your environment.

Step 4 — Handover with runbooks, dashboards, and active monitoring.

Talk to Our Experts

Ready to scope your first deployment?

Bring your infrastructure constraints. We will scope the engagement, commit to an SLA, and start building—no introductory PDF required.

Common Questions

What is aetris-ai?

AETRIS-AI Labs builds AI engines for enterprise-grade applications.

How secure is your platform?

We ensure data encryption, enterprise data sovereignty, and private cloud deployment.

Can I integrate your APIs with existing systems?

Yes, our APIs support REST and Python SDKs, designed for seamless integration into your infrastructure.

What deployment options exist?

Deploy on private cloud or on-premises with low-latency execution.

Do you offer consulting services?

Yes, we provide AI integration architecture and roadmapping consulting.

How do you support AI-driven automation?

Our automation engines orchestrate multi-step processes with intelligent autonomous agents.