Ship AI reliably — and keep it running.
Getting AI to work in a demo is easy. Getting it to work reliably in production, at scale, with proper security, observability, and access control — that's what we do. We deploy AI into your infrastructure with the engineering rigour it needs to stay up.
The deployment gap is real.
Demo-to-production gap
The model works in a notebook but fails when real traffic hits it.
No observability
You can't see when the model drifts, slows down, or starts failing.
Security gaps
No access control, no audit trail, no data protection.
Scaling issues
It works for 10 users but breaks at 10,000.
No maintenance plan
No one owns the model in production — updates are ad hoc.
What we deliver.
API design and implementation for your AI services
Cloud or on-prem deployment, configured for your infrastructure
Observability: logging, monitoring, alerting for model performance
RBAC and security: access control, authentication, and data protection
CI/CD pipelines for model updates and rollbacks
Documentation, runbooks, and handover for your team
How we ship AI to production.
Assess
Understand your infrastructure, models, and production requirements.
Architect
Design the deployment topology, APIs, and security model.
Build
Implement APIs, deployment pipelines, and integrations.
Harden
Load testing, security audit, failover, and rollback procedures.
Monitor
Observability, alerting, and ongoing performance tracking.
Why trust us with your deployment.
We run production AI ourselves
Our own products run on the same patterns we deploy for you.
Senior-led
Experienced infrastructure and ML engineers on the work.
Observable by default
Logging, monitoring, and alerting built in from day one.
Secure by default
ISO 27001 practices, RBAC, encryption, and audit trails.
From discovery to production.
Discovery & Assessment
Architecture, infra, security requirements.
Build & Deploy
APIs, deployment, security, observability.
Harden & Handover
Load testing, documentation, team training.
Operate & Optimise
Monitoring, updates, scaling.
Deploys to your stack.
AI Integrations & Deployment
FAQ's.
Anything else? Write to us directly.
Connecting the AI to your systems, deploying it to your environment, adding security and fallback behaviour, setting up monitoring, and documenting it so your team can operate it reliably.
Yes. We deploy to cloud, private cloud, or on-premise depending on your security and compliance needs.
Monitoring and observability, cost and drift alerts, fallback behaviour for slow or failing services, and clear runbooks for your team.
Yes — CRMs, ERPs, ticketing, databases, and custom internal systems via APIs and connectors.
Yes. Every engagement includes runbooks and documentation, and optional ongoing support.
Access controls, encryption, and guardrails throughout, aligned with ISO 27001 practices.
Ready to ship AI that stays up?
Tell us about your infrastructure and AI workload — we'll architect the deployment.
support@zyqo.ai · Bengaluru, India