Production-First Engineering
We design for scale, security and monitoring from day one, so pilots do not stall later.
KriraAI designs, builds and supports AI systems for enterprises and growing businesses, from the first strategy workshop to models running in production. Every engagement is shaped by our in-house AI research team, so the architecture we recommend reflects what works today. Explore our services below, or tell us the problem you want solved.
Six practice areas covering every stage of AI adoption, from strategy to production support.
01 · 5 services
Independent advice on where AI fits your business and what it will realistically cost.
A phased plan that ranks AI initiatives by value, feasibility and budget.
An audit of data, systems and skills showing what to fix before AI delivers.
Workshops that find high-value use cases and build the business case for each.
Governance, operating model and team structure to scale AI across departments.
02 · 5 services
Agents that complete multi-step workflows across your tools, with human approval where needed.
Systems that reason, plan and use tools to automate end-to-end processes, not single tasks.
Teams of specialised agents that share context, hand off work and run within guardrails.
Assistants trained on your data, connected to your CRM or helpdesk, with human escalation.
Ticket triage, reply drafting and self-service flows that cut contact center workload.
03 · 3 services
Copilots, content generation and document intelligence built on the right model for your use case.
Domain-tuned models and retrieval pipelines that ground answers in your own documents.
Entity extraction, OCR, classification and visual inspection for text, images and video.
04 · 4 services
Full-cycle delivery of AI products, from architecture and data pipelines to deployment.
AI software built around your workflows and business logic, not a wrapper on a public API.
Forecasting, classification, recommendation and anomaly detection models trained on your enterprise data.
Pipelines, dashboards and natural-language queries that turn scattered data into decisions.
05 · 3 services
Tracking of accuracy, drift and cost, with alerts and retraining before performance slips.
We audit, stabilise and modernise AI systems left by other vendors or stalled teams.
Versioning, CI/CD, model serving and GPU infrastructure that make AI releases repeatable.
Start with AI Customer Support Automation or AI Chatbot Development.
Legacy AI/ML System Takeover & Rescue gets stalled projects live.
AI Model Monitoring & Drift Detection finds the cause and restores performance.
AI Agent Development automates repeatable multi-step workflows from start to finish.
LLM Fine-Tuning & RAG Development builds a grounded knowledge assistant.
An AI Readiness Assessment shows what to fix and what to build first.
A time-boxed proof of value with agreed success metrics, ideal for testing one use case first.
Engineers, data scientists and a project lead working as an extension of your team.
Monitoring, retraining and feature updates that keep your AI improving after launch.
Every department kept its own register, so orders and billing were reconciled by hand.
Final billing 83% faster, with 83% fewer billing discrepancies.
Manual clarity grading capped throughput and gave inconsistent calls at grade boundaries.
Human-level grading accuracy, running live in production QC.
Years of policies sat in archives no commercial AI tool was allowed to touch.
Answers grounded in verified internal documents, with zero external data exposure.
We design for scale, security and monitoring from day one, so pilots do not stall later.
Our researchers test new models, agent frameworks and RAG techniques before we recommend them.
You get a clear quote after discovery and pay only for the scope your business needs.
Time-zone-aligned communication and a dedicated account manager for every engagement.
We design for scale, security and monitoring from day one, so pilots do not stall later.
We have extensive experience providing top-rated AI and software solutions across 20+ industries.
It depends on how clearly the problem is defined. If you are still exploring, start with an AI Readiness Assessment. If the use case is clear, we move straight to development.
Consulting decides what to build and why. Development builds, deploys and maintains the system. You can engage either one alone or both in sequence.
Cost depends on scope, data readiness and integration depth. A simple chatbot can start at a few thousand dollars, while enterprise agent systems can reach six figures. We share a scope-based quote after discovery.
Most projects take 4 to 16 weeks from discovery to deployment. Pilots are faster because they focus on one use case. Optimization continues after launch.
Yes. We connect AI to your CRM, ERP, helpdesk and databases through APIs. In most cases you keep the systems you already run.
Yes. We start with a code, data and model audit. We then stabilise the system and improve it, or plan a rebuild where that costs less.
We offer monitoring, drift detection, retraining and feature updates. Support scales from light maintenance to a dedicated team. This keeps accuracy stable as your data changes.
Yes. We serve startups and enterprises in the USA and other global markets through remote delivery. Every engagement has time-zone-aligned communication and a dedicated account manager.
Only the team building your system can access your data. Every deployment includes access controls and guardrails from day one. Models can also run inside your own cloud environment.
We use PyTorch and Hugging Face for models, and LangGraph and CrewAI for agents. Deployments run on AWS, Google Cloud or Azure. The final stack depends on your use case.