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Technology

The stack we build production systems on

Chosen for longevity and total cost of ownership — never for novelty.

Model choice is a routing decision, not a loyalty test. Frontier models sit behind an abstraction so a cheaper — or in-region — model can take over a step without a rewrite, and every call is logged with its prompt version, latency and cost.

Azure AI Foundry
OpenAI
Anthropic Claude
Hugging Face
PyTorch
TensorFlow
LangChain
LangGraph
Semantic Kernel
MCP
LlamaIndex
Vertex AI
AWS Bedrock
Ollama
spaCy
YOLO / OpenCV
Selection Criteria

How a technology earns a place on this list

Every choice here becomes something your team inherits. Four tests decide whether we will put a client's roadmap on it.

  1. 01

    It has a support horizon we can name

    If we cannot point to a published end-of-support date, we cannot plan an upgrade around it. LTS releases and vendor-backed runtimes win over whatever trended last quarter.

  2. 02

    Someone other than us can hire for it

    You should be able to replace us. A stack with a real talent market in Dubai, Riyadh or Bengaluru protects you far better than any contract clause.

  3. 03

    It has an exit

    Open formats, portable containers and standard SQL mean a migration is a project rather than a rebuild. We avoid anything that only leaves through the vendor's front door.

  4. 04

    The cost curve is visible before we start

    Consumption pricing is fine when it is modelled. We size the workload, project the bill at 3x volume and tell you where the cliff is — before the architecture is fixed.

Reference Architectures

Four blueprints we start from

Most engagements are a variation on one of these. Starting from a shape that already works in production is how a six-month build becomes a six-week one.

Agentic RAG on Azure

Grounded answers and actions over your own documents, entirely inside your tenant.

ModelsAzure AI Foundry · GPT-class · Claude · regional fallback
RetrievalAzure AI Search · pgvector · hybrid BM25 + dense · rerank
OrchestrationSemantic Kernel · LangGraph · MCP tool servers
GuardrailsContent filters · enforced citations · human approval gates
ObservabilityApplication Insights · per-step traces · token and cost budgets

Lakehouse on Databricks

One governed copy of the data that both the BI layer and the models read from.

IngestAuto Loader · Kafka · CDC from Oracle, SQL Server and SAP
StorageDelta Lake · Unity Catalog · bronze / silver / gold
Transformdbt · PySpark · contract tests on every published table
ServePower BI · SQL Warehouse · feature tables for training
ControlCluster policies · Photon · per-team budget alerts

Cross-platform product

One product team shipping to iOS, Android and web without three separate roadmaps.

ClientFlutter · RTL and LTR from the same widgets · offline-first store
API.NET 8 · minimal APIs · OpenAPI contract published to the client
IdentityEntra ID · UAE Pass · Nafath · social and OTP
DataPostgreSQL · Redis · conflict-aware sync queue
ReleaseFastlane · staged rollout · crash and ANR budgets per release

Vision and control at the edge

Inference next to the machine, so a network hiccup never stops the line.

EdgeAzure IoT Edge · NVIDIA Jetson · ONNX Runtime
ModelsYOLO · OpenCV · quantised for the target device
ControlROS 2 · OPC UA · PLC handshake with a safe-stop path
SyncStore-and-forward telemetry · MQTT · delta model updates
CloudFabric or Databricks for OEE, drift monitoring and retraining
Full Stack

Every technology we support in production

If it is on this list, we run it for a client today.

AI & Machine Learning

Model choice is a routing decision, not a loyalty test. Frontier models sit behind an abstraction so a cheaper — or in-region — model can take over a step without a rewrite, and every call is logged with its prompt version, latency and cost.

Azure AI FoundryOpenAIAnthropic ClaudeHugging FacePyTorchTensorFlowLangChainLangGraphSemantic KernelMCPLlamaIndexVertex AIAWS BedrockOllamaspaCyYOLO / OpenCV

Cloud & DevOps

Infrastructure is code from the first week — no console clicks nobody can reproduce. Terraform describes the estate, containers carry the workloads, and the pipeline that deploys to production is the same one every engineer runs locally.

Microsoft AzureAmazon AWSGoogle CloudKubernetesDockerTerraformGitHub ActionsAzure DevOpsServerlessCloudflareGrafanaPrometheus

Data & Analytics

A lakehouse only earns its keep with governance. Bronze, silver and gold layers with contracts on the interfaces, tests on every transform, and lineage you can put in front of an auditor without a week of preparation.

DatabricksDelta LakeMicrosoft FabricSnowflakeApache SparkAirflowdbtKafkaPower BIPostgreSQLpgvectorMongoDB

Web & Backend

.NET and TypeScript carry most of what we ship. Both have published support horizons, deep hiring pools across the Gulf and India, and no licensing surprise waiting three years out. Python joins them wherever the work is closer to the model than to the browser.

.NET / C#ReactNext.jsTypeScriptNode.jsPythonFastAPINestJSAngularVue.jsGraphQLRedis

Mobile

One codebase where the product allows it, native where the hardware demands it. Right-to-left layout, offline-first sync and store compliance are designed in at the start — each one is expensive to retrofit and all three are non-negotiable for a Gulf launch.

FlutterReact NativeSwift / iOSKotlin / AndroidMAUIFirebaseExpoUnity 3D

Automation & Integration

The value is rarely in the model — it is in the writeback. We connect to the ERP, CRM and ticketing systems the business already runs, with idempotent handlers, replay on failure and a dead-letter queue somebody actually watches.

n8nPower AutomateUiPathROS 2ZapierTwilioSalesforceDynamics 365SAPOdooStripeAzure IoT Edge
Engineering Standards

What ships with every build, whatever the stack

These are not extras we quote separately. They are the reason the second year of ownership costs less than the first.

Tests that gate the merge

Unit and integration suites run on every pull request, and a failing build cannot reach main. For AI features we add evaluation sets, so a prompt change has to prove itself.

One-command environments

Terraform and containers mean dev, staging and production are the same description with different variables. Rebuilding an environment is routine, not an incident.

Observability from day one

Structured logs, traces and dashboards ship with the first release — along with alerts that page a human only for things a human can fix.

Security in the pipeline

Dependency and secret scanning on every commit, least-privilege identities, and encryption in transit and at rest. Penetration testing before launch, not after the first incident.

Bilingual by construction

Arabic and English are first-class from the first screen. Logical CSS properties, ICU message formats and Hijri-aware dates — not a translation pass bolted on at the end.

Documentation your team can use

Architecture decision records, runbooks and an annotated repository walkthrough at handover, so the knowledge does not leave when we do.

Stack FAQs

Questions engineering leaders ask us first

No. If your team already runs AWS or your licensing makes Google Cloud cheaper, we build there. What we will not do is quietly add a technology nobody on your side can maintain.

Yes. Every architecture above has a deployment that keeps data inside your subscription, and several of our GCC clients run models in-region or fully self-hosted with Ollama and open-weight models for the sensitive paths.

By routing: the cheapest model that passes the evaluation handles each step, with caching on repeated context and a hard budget per workflow. You get a per-feature cost line, not one platform bill at the end of the month.

It is yours throughout. Repositories, pipelines and cloud accounts sit under your organisation from the first commit — we work inside them rather than handing over a copy at the end.

Regularly. We start with a two-week assessment covering architecture, test coverage, dependency risk and cloud spend, and come back with a prioritised plan before anyone touches the code.

Let's build something your competitors cannot copy

Book a free 45-minute consultation with a solution architect. We will map your highest-value use case, sanity-check feasibility and send you a written summary — no obligation, no sales theatre.