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AI systems, architected by people who have shipped them.

AMB AI Solutions designs and builds AI, data and software platforms for companies in the UAE, India and the United States. An AI architect leads every engagement; a senior-led engineering team delivers it.

13platforms in production
55M+objects in our largest RAG index
<100 mscredit decisions at peak

Architecture first

Every build starts with a system design: data flow, model strategy, evaluation gates and cost envelope.

Tested before it ships

Senior engineers own implementation. Regression suites, CI gates and security scanning on every project.

Healthcare & care-techBanking & lendingInsuranceEdTech & GovTechEnterprise HRRetailLogisticsMarTechHealth & wellnessEnterprise dataHealthcare & care-techBanking & lendingInsuranceEdTech & GovTechEnterprise HRRetailLogisticsMarTechHealth & wellnessEnterprise dataHealthcare & care-techBanking & lendingInsuranceEdTech & GovTechEnterprise HRRetailLogisticsMarTechHealth & wellnessEnterprise data

What we build

Seventeen services, one delivery team. The three highlighted are where most engagements begin.

Compare engagement models

An engagement in four steps

The same shape whether we are designing, building, or both.

Brief

You send a few lines. We reply with questions and, if it fits, a scoped proposal within days.

Design

Our architect produces the blueprint: components, data flow, evaluation gates and a cost model.

Build

Senior-led engineering in two-week increments, with a working build and a demo after each.

Handover

Tests, documentation, runbooks and full source transferred. Support if you want it.

Architecture in the UAE

Our founder, an AI architect, leads discovery and technical direction from Sharjah. Hours overlap with the Gulf, Europe and India, with windows for US clients.

Engineering in India

Senior engineers own implementation across frontend, backend, data and ML. Junior engineers contribute under review.

One point of contact

A named lead, weekly demos and a shared board. Scope changes agreed in writing. Everything is yours at handover.

Selected work

Thirteen platforms across ten industries; five written up as full case studies with architecture diagrams.

AI Infrastructure / Enterprise Search

InfoBridge AI

Enterprise document intelligence & RAG assistant

Retrieval-augmented assistant giving employees natural-language access to policy manuals, contracts and wikis. Self-hosted Weaviate cluster (55M+ objects, 39 collections) with RQ-8 quantisation, a Kafka CDC pipeline for delta updates, and Memcached in front of frequent queries.

Outcome ~4x vector compression at 85–92% recall; low median latency under concurrent load.
WeaviateKafka CDCMemcachedRAG
Read the case study
Banking & Financial Services

Apex Lending Intelligence Suite

Digital lending & credit-risk underwriting

Loan-origination platform for a non-bank lender: a FastAPI decisioning service wrapped around an XGBoost/LightGBM credit-risk ensemble trained on bureau, bank-statement and alternative-data features. Cassandra stores the high-write repayment-event ledger; Redis fronts the scoring API.

Outcome Sub-100 ms credit decisions at peak application volume, with KYC and underwriter notifications orchestrated automatically.
Python / FastAPIXGBoostLightGBMCassandraRedisn8n
Read the case study
EdTech / GovTech

Answer Lens

Agentic answer-evaluation platform for competitive exams

OCRs handwritten UPSC-style answer sheets and runs rubric-based agentic evaluation for a coaching institute. Each answer is scored against a multi-criteria rubric with model-generated justification; a Postgres analytics layer tracks performance across mock tests.

Outcome Consistent, explainable grading that replaced slow manual review.
LangGraphLangChainGeminiOCRPostgreSQL
Read the case study
Customer Success / Call Analytics

Call Lens

Contact-centre conversation intelligence

A 28-parameter call-scoring framework and transcription-analysis pipeline processing 7,500+ calls per cycle through Gemini-based scoring of hook, trust, objection handling and tone, with weekly Tableau scorecards for team leads.

Outcome Call-survival and conversion benchmarks lifted from roughly 50% toward a 65%+ target through data-driven coaching.
GeminiNLP pipelineTableau
Read the case study
Logistics / Field Operations

RouteMate

Field-force & last-mile delivery mobile platform

Cross-platform driver and field-agent app in React Native with native Kotlin/Swift modules for background GPS, offline-first order sync and proof-of-delivery capture. Live location streams through Kafka into a dispatch dashboard; Firebase Cloud Messaging drives job-assignment pushes.

Outcome Driver and dispatcher apps covered by one regression suite ahead of every store submission.
React NativeKotlin / SwiftKafkaFirebaseAppium
Read the case study
Enterprise / HR-Tech

TalentOps Analytics Suite

Workforce analytics & agentic HR operations

Internal HR platform for a 3,000-employee enterprise, unifying attendance, attrition-risk scoring and skills-gap analytics into Power BI dashboards. A LangGraph assistant answers policy questions and routes leave and reimbursement requests; n8n automates onboarding across HRIS, IT provisioning and payroll.

Outcome One assistant and one dashboard layer across business units with differing HR policies.
LangGraphPower BIn8nMongoDB

All projects and case studies

What clients say

Placeholder: replace with a client quote about the architecture-first approach and the outcome delivered.

Chief Technology Officer, Lending platform, UAE

Placeholder: replace with a client quote about communication, delivery cadence and the quality of the engineering team.

Head of Operations, Logistics operator, India

Placeholder: replace with a client quote about the RAG assistant's accuracy and adoption across the organisation.

Director of Knowledge Management, Enterprise, GCC
66%fewer tokens with context-aware retrieval
~4xvector compression at 85–92% recall
7,500+calls scored per cycle
3,000employees on one HR assistant

Figures as measured on delivered systems, as of September 2026.

Why clients stay after the first project

The architect stays involved

The person who designed the system reviews the implementation. Design intent doesn't get lost in handoffs.

Vendor-neutral by policy

We have shipped on Claude, OpenAI and Gemini, on AWS, Azure and GCP. Recommendations follow your requirements, not our partnerships.

Your data stays yours

Self-hosted deployments inside your cloud where residency demands it. NDAs before details. Full IP transfer at handover.

Built to be maintained

Documentation, runbooks, tests and ADRs are deliverables, not extras. Your next engineer can pick it up.

Download our capability statement

Full technology stack and the thirteen-project portfolio in one PDF.

Download PDF

Have a system in mind?

Tell us what you're trying to build. We'll reply within one business day with questions, not a sales pitch.

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