Engineering Services

The build layer behind production-grade AI and digital products

Applications, cloud, platforms, APIs, IoT, and intelligent automation — engineered AI-first so your team can ship faster, scale safely, and avoid re-architecting later.

Talk to a Solution Architect→
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Axis Mutual Fund
Workplacecredit
Income
insuraviews
Money Edge
Ditium
Rafter
Paycile
Ginthi
Paywallet
Draftfuel
Planworth
Barclays
AI-Ready Foundations
Every build engineered for AI workloads
Cloud-Agnostic
AWS, Azure, GCP, multi-cloud at full depth
Enterprise-Grade
SOC 2, ISO 27001, GDPR, HIPAA, EU AI Act
Production-First
Built for scale, security, and total cost of ownership

Most engineering teams aren't ready for what's coming next.

AI workloads, agentic systems, and real-time integrations expose every weakness in legacy applications, brittle infrastructure, and outdated delivery pipelines. The fix isn't another tool - it's an engineering foundation built for what your business will need 18 months from now.

The services in this cluster

What's inside Engineering Services

▤

Custom App Development

AI-native business applications, built for scale, security, and ownership.

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☁

Cloud Engineering

AI-ready cloud foundations on AWS, Azure, GCP, and multi-cloud.

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⚛

AI Product Engineering

End-to-end SaaS and platform builds — MVP to scale — with AI baked in.

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⚙

API Development

API and event design for agentic systems, integrations, and AI workloads.

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▣

DevOps & Platform Engineering

CI/CD, IaC, AIOps, and SRE — the engine for application and ML pipelines.

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☲

IoT Development & Integration

Connected device platforms — edge, gateway, cloud, AI inference.

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◉

RPA & Intelligent Automation

Robotic automation augmented with AI agents for smarter workflows.

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Routing

Not sure where to start?

01
Building a new product and want AI baked in from day one
AI Product Engineering + Custom App Development
Talk to a product lead →
02
Cloud spend climbing, AI workloads next on the roadmap
Cloud Engineering + DevOps & Platform Engineering
Request a cloud audit →
03
Shipping is slow, releases break often, MTTR is high
DevOps & Platform Engineering
Get a delivery diagnostic →
04
Multiple systems need to talk and agents need tool access
API Development
Scope an integration build →
05
Connecting physical devices, sensors, or edge AI workloads
IoT Development & Integration
Talk to an IoT architect →
06
Repetitive operations work eating team capacity
RPA & Intelligent Automation
Identify automation candidates →
How we engineer

How we deliver engineering programs

01.
Discover
Architecture review, readiness assessment, sequencing
02.
Design
Reference architecture, tech selection, delivery plan options
03.
Build
Iterative engineering with embedded quality and security
04.
Operate
Production handover, SLOs, run-and-evolve
Why Focaloid for engineering

Why Focaloid for engineering

⚛

Engineered for AI from Day One

Every service is designed to power AI workloads, not retrofitted for them. Architecture, observability, and FinOps come built in.

◈

Product DNA, Not Project DNA

Engineering rigor on testing, security, scalability, and total cost of ownership that comes from years of shipping production products.

⌂

One Partner, Full Stack

Applications, cloud, platforms, APIs, IoT, and automation under one accountable team — no vendor stitching, no integration tax.

Tech we build on

Built on the platforms you already trust

AWSAWS
AzureAzure
GCPGCP
KubernetesKubernetes
TerraformTerraform
GitHubGitHub
DatadogDatadog
HashiCorpHashiCorp
DatabricksDatabricks
SnowflakeSnowflake
Engagement models

How we engage

Project-Based
Fixed-scope, fixed-fee delivery for defined outcomes.
Build-Operate-Transfer
We build the capability, run it, transfer it to your team.
Dedicated Teams
Embedded multi-disciplinary pods for long-running programs.
Staff Augmentation
Senior engineers plugged into your existing team.
Run & Evolve
Ongoing support and maintenance for applications, data, and AI platforms.
FAQ

Common questions.

What's included in DevOps & Platform Engineering?
+
CI/CD pipelines, infrastructure as code, container orchestration, observability, internal developer platforms, AIOps (AI-driven operations), and Site Reliability Engineering. Effectively the full delivery and runtime stack — for both application and ML workloads.
Can you work alongside our existing engineering team?
+
Yes. Most engagements involve close collaboration with in-house teams. Staff Augmentation plugs senior engineers into your existing structure. Dedicated Teams operate as embedded pods. Project engagements typically include knowledge-transfer and shadow-coding from week one.
Which clouds and tech stacks do you support?
+
AWS, Microsoft Azure, and Google Cloud at full depth. Backends across Node, Python, Java, .NET, and Go. Frontends across React, Next.js, Vue, and Angular. Container orchestration with Kubernetes. Infrastructure as code with Terraform and Pulumi. Observability with Datadog, New Relic, and Grafana stack.
How do you handle security and compliance?
+
Every engagement operates under SOC 2 Type II and ISO 27001 controls. Industry-specific deliverables are built to GDPR, HIPAA, PCI DSS, and EU AI Act requirements. Security is a first-class workstream from architecture review onward.
Explore

Explore other service clusters

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↗

Data & Intelligence

Data engineering, warehousing, ML, governance, and computer vision. The fuel layer behind production AI.

Explore →
◎
↗

Managed Services

Staff augmentation, dedicated teams, and run-and-evolve managed services. The talent and ownership layer.

Explore →
Get started

Ready to engineer for  
what's coming next?

Whether you're modernizing a legacy core, building a new SaaS product, or scaling AI to production — our engineering practice is built to carry the load.

Talk to a Solution Architect →