Global LLM Engineering, Full-Stack Development & AI Delivery

We build LLM powered agents, full stack web and mobile apps, custom CRMs, big data platforms, RAG pipelines, and AI automations for ambitious businesses.

Deepthena brings together large language model engineering, full stack application development, custom CRM systems, mobile apps for iOS and Android, cloud data platforms on AWS, GCP, and Azure, plus retrieval-augmented generation pipelines and AI agent workflows , all under one roof. No more stitching together five different agencies to get a single product off the ground.

Build modes
Full-Stack & CRM CommandPrototype to production app
Build lens

Web apps, mobile apps, and custom CRM systems mapped by user need, technical complexity, and business impact.

Every product idea becomes a buildable roadmap with clear milestones, tech stack decisions, user stories, and deployment targets.

Prototype Build Scale
01Vision90Day launch
Big Data & Cloud Pipeline ViewRaw source to analytics layer
IngestTransformStoreAnalyzeAct

Databases, APIs, event streams, and data quality checks stitched into one reliable cloud backbone on AWS, GCP, or Azure.

ETL definitions, warehouse schemas, and operational dashboards stay connected to real business decisions , not disconnected spreadsheet exports.

LLM & AI Agent LinePrompt to production deployment
AIRetrieveReasonGenerateAutomate

AI agents that search knowledge bases, reason over retrieved context, draft responses, and automate multi-step business workflows.

RAG retrieval, tool calling permissions, evaluation guardrails, and human in the loop review stay anchored to real operational processes.

LLMRAG powered copilots, agentic workflow automation, and document intelligence
OpsProduction safety checks, hallucination detection, and release control gates
Mobile & Observability Control RoomApp health to analytics
App Reliability94%

Uptime and performance confidence across monitored iOS, Android, and web applications.

Dashboards structured around real user experiences and app performance, not vanity metrics.

Crash reporting, latency monitoring, and user journey analytics keep product teams aligned with actual customer behavior.

Why Deepthena

One team that builds your web app, mobile app, custom CRM, data platform, and AI layer , together.

Deepthena combines full stack application development, custom CRM engineering, cloud data infrastructure, LLM deployment, RAG pipeline design, and mobile app development for iOS and Android in one delivery team. That matters because when your CRM talks to your LLM agent, and your mobile app reads from the same data warehouse, there is no room for fragmented suppliers pointing fingers at each other.

01

Full-Stack Web Applications

Build responsive, cloud-hosted web apps with React, Node.js, Python backends, and real time APIs that your users actually love using.

02

Big Data & Cloud Pipelines

Massive-scale data warehouses, lakehouses, ETL and ELT on AWS, GCP, and Azure with data quality checks built into every stage.

03

Custom CRM Systems

Tailored customer relationship platforms with AI powered lead scoring, automated follow-up sequences, pipeline dashboards, and role based access.

04

Mobile Apps (iOS & Android)

Native and cross-platform mobile applications with push notifications, offline support, real time sync, and seamless cloud backend integration.

Industry Applications

Built for organizations that need production software, AI intelligence, and cloud data power working in harmony.

Deepthena works with data-driven enterprises, AI startups, financial services, healthcare operators, logistics firms, real estate groups, SaaS platforms, and cloud-first teams worldwide.

Finance and Insurance

Intelligent underwriting engines

Real-time risk assessment models, automated claims processing with LLM document parsing, fraud detection pipelines, and regulated cloud hosting on AWS or Azure.

Industrial and Logistics

Connected fleet intelligence

IoT sensor data pipelines, predictive maintenance alerts, route optimization algorithms, warehouse inventory dashboards, and real time operations command centers.

Healthcare and Life Sciences

Clinical workflow automation

Patient data pipelines, medical imaging analysis, drug discovery data workflows, clinical trial analytics, and HIPAA-compliant cloud infrastructure on GCP or AWS.

SaaS and Tech Platforms

AI-native product launches

LLM powered search, agentic chatbots, RAG knowledge bases, SaaS workflow automation, full stack dashboards, iOS and Android companion apps, and cloud-native deployment pipelines.

RAG & AI Agent Builds

AI agents that retrieve context, reason intelligently, generate grounded responses, and trigger real business actions.

We start by mapping your business workflow, not by choosing a model. Every agent is designed around the actual process it needs to support, the data sources it must access, and the decisions it should help your team make.

RAG retrieval and LLM agent workflow interface showing context retrieval, reasoning, and action routing
Agent flow Retrieve, reason, generate, route, log.

Built with RAG grounding, human review gates, tool-use permission layers, source-attribution tracking, and graceful fallback rules.

Retrieval Layer

First, the agent retrieves exactly the right context before it generates a single word.

The RAG intake layer queries vector databases and knowledge bases to answer: what is the user really asking, which documents are semantically nearest, what data sources carry the highest trust score, and which queries should be escalated to a human before the LLM attempts a response.

Step 1: Retrieve

Pull the right context from your knowledge base before the LLM generates anything.

RAG retrieval agents query vector stores, apply semantic search, re-rank results by relevance, and feed only trusted, sourced context into the LLM prompt , dramatically reducing hallucinations and improving factual accuracy.

Vector search, embedding models, hybrid retrieval, and source attribution.
RAG retrieval and LLM agent workflow Data pipeline and embedding processing Automated MLOps workflow and cloud logging output
Full-Stack & Mobile Development

Web applications, mobile apps, and custom CRM systems built for organizations that need polished, reliable software , fast.

Deepthena builds full stack web apps with React, Node.js, and Python backends; native iOS and Android mobile apps with Swift and Kotlin; and custom CRM platforms that integrate directly with your data warehouse and AI layer. Every project includes CI CD pipelines, automated testing, cloud deployment on AWS or GCP, and monitoring that catches issues before users notice. The goal is simple: ship working software your team can be proud of.

Full-stack web application architecture with React frontend and cloud backend
Web Applications

Responsive, cloud-hosted web apps with modern React, Node.js, and Python stacks.

User authentication, real time WebSocket updates, REST and GraphQL APIs, database integration, and cloud deployment pipelines on AWS or GCP , shipped with monitoring and automated rollback.

Custom CRM dashboard with AI-powered lead scoring and pipeline management
Custom CRM

Tailored CRM platforms that fit your sales process, not the other way around.

AI powered lead scoring, automated follow-up sequences, pipeline visualization, role based access controls, and API integrations with your existing tools , all hosted on your cloud of choice.

iOS and Android mobile app development with cloud backend integration
Mobile Apps

Native iOS and Android apps that feel smooth and stay connected to your cloud backend.

Swift for iOS, Kotlin for Android, React Native for cross-platform , whatever fits your timeline and feature roadmap. Push notifications, offline caching, real time sync, and automated App Store deployment.

Client Notes

What product and engineering teams value most is clarity: what is being built, why it matters, and what ships next.

Project feedback should show whether the web app launched on time, the mobile app passed app store review, the CRM actually got adopted by the sales team, and the LLM agent reduced manual work. These examples reflect the kind of engineering clarity Deepthena brings to every build.

AR

Amara Reed

VP Product, Fintech Platform

"Deepthena built our full stack web app and integrated an LLM copilot into the dashboard. The React frontend is fast, the Python backend is solid, and the AI chat feature actually understands our financial data."

KM

Khalid Mansour

CTO, Logistics Tech

"They rebuilt our custom CRM from scratch. The AI lead scoring alone increased our sales team's conversion rate. The pipeline dashboard gives managers real visibility into every deal stage."

NS

Nadia Stone

Director of Engineering, B2B SaaS

"The iOS and Android apps shipped on time and passed app store review on the first submission. Push notification delivery is reliable, and users love the offline mode."

EO

Elliot Okafor

Head of AI, Marketplace

"Our RAG agent now handles 70% of customer support queries without human intervention. The retrieval quality and source attribution gave our compliance team the confidence to sign off."

LP

Lina Park

VP Data, HealthTech

"The cloud data pipeline on GCP cut our ETL job failures by 90%. Our analysts went from firefighting broken pipelines to actually building dashboards that drive clinical decisions."

AR

Amara Reed

VP Product, Fintech Platform

"Deepthena built our full stack web app and integrated an LLM copilot into the dashboard. The React frontend is fast, the Python backend is solid, and the AI chat feature actually understands our financial data."

KM

Khalid Mansour

CTO, Logistics Tech

"They rebuilt our custom CRM from scratch. The AI lead scoring alone increased our sales team's conversion rate. The pipeline dashboard gives managers real visibility into every deal stage."

NS

Nadia Stone

Director of Engineering, B2B SaaS

"The iOS and Android apps shipped on time and passed app store review on the first submission. Push notification delivery is reliable, and users love the offline mode."

EO

Elliot Okafor

Head of AI, Marketplace

"Our RAG agent now handles 70% of customer support queries without human intervention. The retrieval quality and source attribution gave our compliance team the confidence to sign off."

LP

Lina Park

VP Data, HealthTech

"The cloud data pipeline on GCP cut our ETL job failures by 90%. Our analysts went from firefighting broken pipelines to actually building dashboards that drive clinical decisions."

Project Proof

Systems we ship are shaped around real product and data challenges, not generic templates.

Deepthena has shipped products such as CrunchTrove.com, an agentic LLM powered form builder and workflow automation platform, and ABCWed.com, a data-driven freelancer marketplace built with full stack web technology. That hands-on experience shapes how we design every RAG pipeline, every React component, every mobile screen, and every cloud infrastructure decision for production.

CrunchTrove.com

Agentic LLM form builder

RAG powered workflow logic, guided data capture, LLM-assisted business process automation, and cloud-native deployment on AWS.

ABCWed.com

Full-stack marketplace

React frontend, Python backend, real time search indexing, recommendation models, service listings, and transaction-ready data pipelines.

DevOps Handover

Built to operate

CI CD pipelines, runbooks, monitoring dashboards, automated testing suites, deployment docs, and clear ownership models built into every delivery.