Custom Web & SaaS Apps
Full-stack Next.js 15, React, Node.js and .NET engineering for SaaS products and portals.
AI inside: copilots, smart search and AI dashboards inside your product.
Learn moreNext.js 15ReactNode.js.NET
Built for
Combining AI-assisted rapid engineering, modern React/Next.js architectures, and headless CMS ecosystems for high-growth enterprise teams.
Telic AI Studio · instant project blueprintpowered by Vertex AI (Gemini)
- Typical delivery
- 0–0 wks
- Lower build cost
- 0%
- TTFB on Cloud CDN
- <0ms
- Code ownership
- 0%
Technologies we build with: Next.js 15, React, Vertex AI · Gemini, Cloud Run, Firebase App Hosting, Node.js, .NET, Umbraco, Contentful, Strapi, RAG pipelines, FHIR R4, WhatsApp API, GSAP, Framer Motion, Cloud Armor
Next.js 15ReactVertex AI · GeminiCloud RunFirebase App HostingNode.js.NETUmbracoContentfulStrapiRAG pipelinesFHIR R4WhatsApp APIGSAPFramer MotionCloud Armor
SERVICE LINES
AI in how we build. AI in what we ship.
Every service line pairs senior engineers with an agent workflow, and every product we ship can carry AI features of its own.
Headless CMS & Enterprise Migration
Umbraco, Contentful and Strapi builds plus legacy Kentico and Sitecore migrations.
AI inside: AI content mapping, auto-tagging and translation during migration.
Learn moreUmbracoContentfulStrapiKentico
AI Workflows & API Integrations
LLM orchestration, RAG pipelines and CRM, ERP, WhatsApp and FHIR connectors.
AI inside: agents that read, decide and act across your existing systems.
Learn moreRAGAgentsWhatsAppFHIR
Animated Motion Websites
GSAP, Framer Motion and Lottie storytelling with smooth scroll that stays fast.
AI inside: personalised sections that adapt to each visitor and industry.
GSAPFramer MotionLottie
AI-Native Mobile Apps
iOS and Android apps from one codebase, with offline use, Arabic/English RTL and store release.
AI inside: voice notes, camera capture and on-device assistants.
Learn moreReact NativeFlutterUAE PassGemini Nano
Custom AI CRM
A CRM shaped around your pipeline, with WhatsApp, email and calls in one timeline.
AI inside: lead scoring, drafted follow-ups and call summaries.
Learn moreCRMWhatsAppERPClaude
AI SOLUTIONS
From mobile apps to AI agents, built on Claude and Gemini.
Pick a solution, see it working in a live demo, and get a scoped plan after a 15-minute audit.
SELECTED WORK
Real platforms, shipped with AI in the loop.
Client names are withheld; scope and engineering details are real.
HealthcareIn delivery
A multi-tenant hospital management system with AI at the bedside
Multi-specialty hospital group, India
From front desk to finance: a hospital information system built sprint by sprint, with clinical AI, India's ABDM health stack and lab-device integration.
- Delivery sprints
- 0+
- Automated unit tests
- 0+
- Clinical & business modules
- 0+
.NET / BlazorSQL ServerAzure OpenAIAzure AI Speech
LogisticsPlanned
Enterprise CMS upgrade from Kentico 13 to Xperience by Kentico
National logistics company, Saudi Arabia
A bilingual corporate website moved to Kentico’s current platform on a fixed eight-week plan, with AI-assisted migration tooling.
- Fixed timeline
- 0 weeks
- Core team
- 0
- Languages
- AR / EN
Xperience by Kentico.NETAzure App ServiceAzure SQL
SaaSIn delivery
HR & payroll SaaS website replatformed from WordPress
HR and payroll SaaS for the GCC and MENA market
A marketing site and API playground moved from WordPress to a modern React and .NET stack, bilingual from the ground up.
- Languages
- AR / EN
- From
- WordPress
React.NET CoreSQL ServerAzure
3-STEP DELIVERY PIPELINE · LIVE
Watch our AI agents build, with engineers in the loop.
STEP 01 · Week 0–1Queued
AI Architecture & UI/UX Frame
STEP 02 · Week 1–3Queued
AI-Assisted Rapid Engineering & Code Generation
STEP 03 · Week 3–4Queued
GCP Hardened Deployment & Security Verification
Spec AgentUser stories and acceptance criteriaqueued
Architect AgentIA, wireframes and GCP designqueued
Builder AgentTyped components and APIsqueued
Test AgentUnit and E2E test generationqueued
Security AgentHardening and scansqueued
Deploy AgentFirebase App Hosting / Cloud Runqueued
Senior EngineerReviews and approves every gatequeued
telic-engine ~ build/7f3a2c0% complete
›▍
Illustrative replay of our delivery workflow. Every merge to main is reviewed and approved by a senior engineer.
TRADITIONAL VS. AI-FIRST ENGINE
Size your project. See the difference live.
24
3
2
Traditional agency
17 wks
manual QA · high maintenance debt
Telic Cognitive Engine
5 wks
automated AI testing
Delivery timeline5 vs 17 weeks
Build cost≈ 40% lower
Automated test coverageAI-generated
Indicative only. Based on the 2–4 week and 40% cost-reduction model.
INDUSTRY SOLUTION KITS
AI kits for regulated industries.
Patient-first platforms, compliance-ready by design.
HIPAA and DHA-aligned patient portals with HL7 and FHIR integrations, built so clinical data never leaves your cloud.
- HIPAA / DHA-aligned patient portals
- HL7 v2 and FHIR R4 integrations
- WhatsApp appointments and reports
- Doctor profiles and clinic microsites
✦ AI use case in this kit
A WhatsApp assistant that books, reschedules and explains lab reports in plain language.
Can I move my scan to Thursday afternoon?
Done. You are booked for Thursday at 3:30 PM. I have sent the preparation instructions to your WhatsApp.
fhir-gatewaypatient-portalwa-assistantconsent-log
Explore the full Healthcare kit LIVE SITE AUDIT
See how your website scores, right now.
We run Google Lighthouse, check your security headers and test how readable your site is for AI assistants.
60-SECOND AI READINESS CHECK
How ready is your platform for AI?
Answer six quick questions. Your score and next step update as you go.
0/ 100
Answer to see your score
Your result and a recommended first step appear here.
Is your core data in one place we can connect to?
Do your key systems expose APIs?
Is your platform hosted in the cloud?
Is your content in a structured or headless CMS?
Do you have one clear AI use case in mind?
Do you have a data security policy in place?
GCP ARCHITECTURE & RESPONSIBLE AI
Your data stays in your Google Cloud project.
Models run through Vertex AI in your own tenancy. No customer data is used to train public models.
- Cloud CDNsub-50ms TTFB
- Next.js 15 RSCstreaming SSR
- Firebase App Hostinggit-push deploys
- Cloud RunAPIs · agents
- Vertex AI (Gemini)RAG · grounding
Data stays in your GCP project
No training on your data
Human review on every merge
Cloud Armor WAF + IAM
SOC 2-ready controls
You own 100% of the code
ENGAGEMENT MODELS
Start with an audit. Scale into an engine.
Every engagement is scoped to your project and quoted after a 15-minute audit.
01
15-minute audit
A principal engineer reviews your goals, current stack and constraints.
02
AI blueprint
Our AI Studio drafts scope, architecture and timeline; engineers refine it.
03
Fixed-scope proposal
You receive a written, fixed-scope proposal tailored to your project.
Audit Sprint
Timeline1 week · Assessment
Architecture, performance, security and AI-readiness review of your current platform.
Best for: Teams that want a clear plan before committing to a build.
- Core Web Vitals and security report
- AI opportunity map
- GCP migration roadmap
Launch Pod
Most chosenTimeline2–4 weeks · Fixed scope
A fixed-scope AI-first build shipped to production on Google Cloud.
Best for: A new platform, portal or migration with a clear launch date.
- Agent-built, engineer-reviewed code
- One AI feature included
- Hardened deployment and handover
Dedicated Engine
TimelineOngoing · Monthly squad
An embedded squad of engineers and agents for continuous delivery.
Best for: Product teams shipping continuously on a growing roadmap.
- Weekly releases
- AI feature roadmap
- SRE and security on call
Not sure which fits? and we will recommend one.
FAQ
Questions teams ask before they start
What does an AI-first development company do differently?
We use AI agents for the repetitive parts of delivery — scaffolding, tests, content migration and documentation — while senior engineers own architecture, security and every merge. The result is production-grade web platforms delivered in 2–4 weeks instead of months.
Which countries do you work with?
We deliver for clients across the UAE, Saudi Arabia and the wider GCC, and India, with English and Arabic interfaces and teams working in both Gulf and Indian time zones.
What technology stack do you build on?
Next.js and React on the front end, headless CMS where content matters, and Google Cloud for hosting and AI: Cloud Run, Firebase and Vertex AI with Gemini models. We also deploy to Azure or on-premise when data residency requires it.
Is our data used to train AI models?
No. Client data stays in your own cloud project or ours under contract, model providers are configured not to train on it, and sensitive workloads can run on private models inside your network.
Can you build AI agents and chatbots on our own documents?
Yes. We build retrieval-augmented (RAG) assistants and workflow agents grounded in your documents, databases and APIs, with citations, access control and human review for high-stakes answers.
How do we start a project?
Book a 15-minute audit. We review your goals and current platform, then send a fixed-scope proposal and timeline. You own all code and IP from day one.
Do you build mobile apps?
Yes. We build AI-native iOS and Android apps, usually from one cross-platform codebase, with Arabic/English support, UAE Pass sign-in where needed and App Store and Google Play release. A typical first release takes 6–8 weeks.
Can you build a custom CRM instead of Salesforce or HubSpot?
Yes. We build CRMs around your sales process with WhatsApp, email and call logging, AI lead scoring and drafted follow-ups. You own the code and pay no per-user licence fees. If an off-the-shelf CRM fits better, we will say so.