Custom AI. Built for
your business - shipped
to production
Most AI projects never make it past a pilot. Ours do. We build custom AI for real business outcomes and deploy it in your environment within weeks, not quarters.
The gap isn't AI. It's
getting it into production.
Companies aren't short on AI ideas — they're short on AI that actually ships. We work the other way: senior people, a clear business metric, and a fixed path to production. If it doesn't reach real use, it doesn't count.
What we build.
Eight ways we put AI to work, used on their own or combined into one system. Select a line to see the detail.
AI Workflow Automation
We automate the work that eats your team's day — sorting incoming requests, pulling out the key details, routing them to the right person, taking the next action, and tracking it all against SLAs.
- Intake, classification, and prioritisation
- Data extraction where it's needed
- Routing and owner assignment
- Automated actions (tickets, updates, notifications)
- SLA tracking, dashboards, and alerts
We automate the work that eats your team's day — sorting incoming requests, pulling out the key details, routing them to the right person, taking the next action, and tracking it all against SLAs.
- Intake, classification, and prioritisation
- Data extraction where it's needed
- Routing and owner assignment
- Automated actions (tickets, updates, notifications)
- SLA tracking, dashboards, and alerts
We build copilots that pull correct answers from your own documents, wikis, and systems — and agents that go a step further and take actions through your tools, with approvals and guardrails. Grounded in your knowledge, controlled by your rules, logged for accountability.
- Copilots that answer with citations from your knowledge
- Agents that take controlled, approved actions
- Guardrails, permissions, and human-in-the-loop checks
- Evaluation for accuracy and grounding
Sometimes prompting a general model isn't enough — you need consistent output, domain-specific accuracy, and predictable cost. We help you decide when that's true, then train and benchmark models that fit your data and your budget.
- A clear build-vs-buy recommendation
- Model training on your domain and data
- Benchmarks against accuracy, cost, and speed
- A deployment-ready package
For teams that run on calls, we build voice-to-voice assistants, real-time agent assist, and call analytics — tuned for low latency and real-world audio, integrated into your systems.
- Voice assistants and real-time agent assist
- Call intelligence and QA analytics
- Low-latency, real-world-audio handling
- Integration with your telephony and tools
Invoices, bills of lading, forms, contracts — we turn unstructured documents into clean, structured data your systems can use, with validation and a human-review queue for anything low-confidence.
- Extraction from PDFs, scans, images, and emails
- Field validation and confidence scoring
- Exception queues for human review
- Routing into your downstream systems, with an audit trail
The hardest part of AI isn't the model — it's making it reliable in production. We handle the engineering: APIs, cloud or on-prem deployment, monitoring, access controls, and the runbooks your team needs to operate it.
- APIs and integration into your existing systems
- Cloud or on-premise deployment
- Monitoring, logging, and fallback behaviour
- Access controls, security, and documentation
As you put more of your operations and data into software and AI, security becomes non-negotiable. We help you find and close the gaps , securing your applications, data, and infrastructure, and hardening the AI systems we (and others) build. Practical protection scoped to your risk, not a checklist for its own sake.
- Security assessments and vulnerability reviews
- Access controls, encryption, and monitoring
- Application, data, and infrastructure hardening
- Security for AI systems — data protection, guardrails, audit trails
Good AI and good decisions both start with good data. We design, build, and manage the data layer beneath your operations — databases, data warehouses, and the pipelines that move and clean data reliably. So your teams get trustworthy data, and your AI has a solid foundation to build on.
- Database design, management, and optimisation
- Data engineering — pipelines, integration, and cleaning
- Data warehouse setup and modernisation
- A reliable data foundation for analytics and AI
What good looks like .
Every engagement is measured against outcomes agreed upfront.
From your
use-case to production.
Discovery & Assessment
We define the use-cases, check your data readiness and security needs, and agree the success metrics.
Build & Validate
We build a working system inside a real workflow, integrate it, and refine it against evaluation loops.
Deploy & Harden
Production hardening , access controls, monitoring, logging, guardrails , plus full documentation and handover.
Operate & Optimise
Ongoing support, tuning, and new use-cases as they come up.
Where we do our best
work.
We focus on industries where the cost of manual work is highest and volume is unforgiving. Hover or tap a card to see how we help.
Models that fit your
procurement.
Fixed-Bid Project
Defined scope, milestones, and deliverables. Best for well-scoped work.
Time & Material
Flexible scope for R&D or evolving requirements. Pay for time spent.
Retainer
Continuous improvement, optimisation, and support. Predictable monthly engagement.
Contract Staffing
Embedded AI engineers in your team, full-time or part-time.
Built to enterprise
standards.
We work with your systems and your data, so security is built in, not bolted on. ISO-certified processes, enterprise-grade controls, and full documentation on every engagement.
ISO 27001 & ISO 9001 certified delivery
Encryption, access controls, and audit trails
Cloud, private cloud, or on-premise to fit your compliance needs
Full runbooks, documentation, and handover
Why teams choose us
over larger firms.
We ship our own products.
The same engineering behind MailOps and CXO Assist goes into your project product-grade, not agency-grade.
Senior people, start to finish.
No bait-and-switch. The people who scope your project are the people who build it.
Weeks, not quarters.
Fixed scope, clear timelines, and a real path to production.
Services
FAQ's.
Anything else? Write to us directly.
Six service lines: AI workflow automation, AI agents and copilots, custom models and fine-tuning, voice AI systems, document extraction, and AI integrations and deployment. They're used on their own or combined into one system.
Most projects are live in 4–8 weeks — discovery in 1–2 weeks, build in 2–6 weeks, then deployment and handover.
Yes. Integration is core to what we do : CRMs, ERPs, ticketing, inboxes, databases, telephony, and custom internal systems.
Yes. We deploy to cloud, private cloud, or on-premise depending on your security and compliance needs.
We agree the metrics during discovery , accuracy, latency, cost, and business outcomes and build dashboards to track them.
Both. Our engagement models (fixed-bid, time and material, retainer, contract staffing) adapt to your size and stage.
Tell us what you want to
automate.
Book a consultation and we'll map the fastest path from your use-case to production.
contact@zyqo.ai· Bengaluru, India
