Kuyil AI — our AI assistant platform.
We built Kuyil because we wanted to run AI in production ourselves before selling the capability to clients. Document intelligence, enterprise search, conversational AI — all production-hardened on real workloads.
Six core capabilities. One platform.
Conversational AI
Context-aware chat interfaces for internal tools, customer support and knowledge management. Role-aware, permission-scoped.
Document intelligence
Extract, classify and route information from unstructured documents — contracts, invoices, KYC, compliance forms. Accurate and auditable.
Enterprise search (RAG)
Semantic search across your internal knowledge base — Confluence, Notion, SharePoint, S3, databases. Private, grounded answers.
AI automation
Workflow automation with LLM decision logic. Data extraction, triage, routing, summarization at scale.
Evals & monitoring
Production-grade observability for AI systems — accuracy evals, cost tracking, latency monitoring, hallucination detection.
Custom LLM integrations
GPT-4o, Claude, Gemini, Mistral, Llama — Kuyil is model-agnostic. We wire to whichever model fits the use case and budget.
Building Kuyil taught us what no case study can.
LLM cost at scale
We've optimized prompt costs by 60–80% on high-volume pipelines. That experience flows into every AI project we build for clients.
Eval infrastructure
We built a production eval framework before selling evals to clients. We know what breaks AI in production because it's broken on our own traffic.
Hallucination mitigation
Grounding, guardrails, confidence thresholds — we've run every technique on live users. We know which patterns hold and which are academic.
20+ years shipping production software. Built Kuyil AI (our AI assistant platform) and Garuda (clinic management SaaS) — along with 500+ client projects across SaaS, HealthTech, FinTech, Logistics and eCommerce.
Personally reviews every engagement’s first sprint: architecture, code quality, delivery discipline. Not a sales handoff. The CTO stays in the room.
Demonstrating Kuyil AI · Dubai Tech Summit
Want to explore AI for your business?
Tell us your use case. We'll tell you whether Kuyil fits off the shelf, or whether a custom build makes more sense.
- 1Describe your use caseWhat problem are you trying to solve with AI?
- 2Free 60-min AI reviewWe assess feasibility, ROI and architecture — no charge.
- 3Platform or customWe recommend the right path: Kuyil SaaS, white-label, or a custom build.
- 4Get to productionAI MVPs in 2–6 weeks. Full production in 8–16 weeks.
- ✓ No sales pressure✓ Reply in 24h✓ NDA available
Frequently asked questions
What is Kuyil AI?
Kuyil is our in-house AI assistant platform — built and operated by Squash Apps. It powers conversational AI, document intelligence and enterprise search products. You can explore it at kuyil.ai.
Can I use Kuyil for my business?
Yes. Kuyil is available as a hosted SaaS product at kuyil.ai, or we can build a custom AI product for your use case using the same underlying infrastructure. Get in touch to discuss which path fits your needs.
How does Kuyil relate to Squash Apps' AI development services?
Kuyil is our proof of concept — we built it to solve real AI problems ourselves before selling the capability to clients. Every pattern in Kuyil (evals, cost controls, guardrails, RAG pipelines) flows into the AI projects we build for clients.
What LLMs does Kuyil use?
Kuyil is model-agnostic. We use GPT-4o, Claude, Gemini, Mistral, and open-source models depending on latency, cost and privacy requirements. For enterprise deployments that require data residency, we deploy models in the client's own cloud.
Is Kuyil suitable for regulated industries?
Yes. We've built Kuyil with enterprise requirements in mind — role-based access controls, audit logging, no training on customer data, and deployment options that keep data within your own infrastructure.