How we turn
Your goals
into shipped software

AI‑native delivery with budget clarity and true product ownership —what we do, how we do it, and what you get at each step.

Services built around your goals

Client
Centered Development

Co‑create AI‑native products with teams aligned to your outcomes—and budgets you control.

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    Cross‑functional squads with weekly demos and OKRs/KPIs
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    Transparent budgets and reporting
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    You own the roadmap, code, and IP

Cloud-Native
‍Product Development

Secure, scalable, cost‑smart architecture on AWS, Google Cloud, or Azure.

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    IaC, CI/CD, and observability from day one
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    Performance, security, and cost optimization
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    Compliance‑minded release practices

Technology
‍Consultancy &
LLM integration

Strategy to shipping—with responsible LLM integration where it adds value.

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    AI/LLM opportunity mapping and evaluation
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    Solution architecture and technical spikes
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    Delivery enablement and governance

AI‑native, done responsibly

Where AI adds value: retrieval, automation, decision support, and UX—not hype.

Guardrails
evaluation, prompts‑as‑code, fallback paths, and PII handling
Data
sources, quality, governance, and observability for AI
Architecture
agentic backends, secure integrations, and auditability

One path
from idea to impact

STEP 1

Discover

— 2/4 weeks, fixed fee

Align outcomes, validate AI opportunities, and de‑risk before build. You get:

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    Goals, users, and success metrics agreed
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    AI/LLM opportunity map and data needs
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    Draft architecture and cloud approach
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    Initial backlog, timeline, and budget range
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    Compliance considerations (HIPAA/GDPR/FDA‑minded)

Note: Extended discovery (4/8 weeks) for regulated/complex integrations.

STEP 2

Build

— dedicated product team, monthly

Ship AI‑native software iteratively with full visibility. You get:

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    Cross‑functional team, weekly demos, and KPIs
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    Transparent budgets and reporting
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    You own the roadmap, code, and IP
STEP 3

Scale

— operate and optimize

Grow confidently and keep improving. You get:

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    Cloud ops, monitoring, performance/cost optimization
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    Compliance‑minded releases
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    Data‑informed roadmap acceleration

What you get from us

You own everything—code, IP, and artifacts.

Blueprint
Product brief, user flows, and success metrics
Architecture
Architecture diagrams and Infrastructure as Code
Delivery
Tested, documented code and deployment pipelines
Operations
Release notes, runbooks, and handover

Quality, security, and compliance

ETIQA

Tech we build with

Languages

/Python /JavaScript /Typescript /C#

AI

/GenAI /ML /RAG /Evals /Prompt /Engineering /HITL

AIOps + DevOps

/Docker /Kubernetes /Jenkins /Terraform /Bedrock /Vertex /Azure Studio /GroqCloud /Azure AI Foundry

Frameworks

/Vercel AI /Angular /React /NextJS /Express /NestJS /Apollo /FastAPI

Test

/Unit /Integration /e2e /Contract

Compliance

/FDA /EMAS /HIPAA /GDPR /CCPA

Industries and markets

  • Regulated health & life sciences — HIPAA/GDPR, secure, evidence-based.
  • Talent & workflow platforms — recruiting portals & automation.
  • US–EU remote coverage — async delivery across USA & EU (IE, UK, DE, CH, IT HQ).
Build with us

Proof in practice

  • Patient data platform — AI‑informed workflows, shorter cycle time, cloud‑native.
  • Digital therapeutics companion app — Secure, compliant, engagement‑driven.
  • Insurance B2B portal — Scalable architecture, smoother broker operations.
Build with us

Partners and Platforms
we build on

A modern ecosystem for secure, scalable, AI‑native products.

Technology Partners
logos of AWS Partner Network, Contentful, Toolhouse

AWS Partner Network • Contentful • Toolhouse

Platforms we support
logos of AWS, Google Cloud, Microsoft Azure

AWS • Google Cloud • Microsoft Azure

All product names, logos, and brands are property of their respective owners. Use does not imply endorsement or partner tiers beyond what’s stated.

Ready to build AI‑native — on your terms?

Let’s align on outcomes, budget, and ownership — and ship with confidence.

Build AI‑native
See case studies
etiqa logo with images of employees