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Product Engineering

Software engineered for production.

Platforms built for the load they actually carry, not the slide deck. SaaS, web applications, and custom systems that perform under production conditions and stay maintainable through scale.

50+
Engagements delivered
5
Industry verticals
Production
in 6–12 weeks

Capabilities

Four pillars.
One delivery standard.

Engineering, AI, infrastructure, and growth. One team, one set of delivery standards, one accountable point of contact. Choose the pillar — or describe the outcome and we'll scope the engagement.

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/ Who We Are

Engineering practice.
Production focus.

PROSYS LTD is an engineering practice. The team scoping your engagement is the team delivering it — one accountable group from discovery through operations, without the relay layers and diluted ownership of larger firms.

The practice operates across strategy, design, engineering, and post-launch operations — including the operational responsibilities most providers segment or decline to own. AI systems, SaaS platforms, regulated workloads, all under one delivery standard.

Outcomes over output
Engagements are scoped to a business result, with success metrics agreed upfront. Tradeoffs are surfaced at week one, not at handover.
End-to-end ownership
The engineer scoping the engagement is the engineer delivering it. One accountable team across discovery, build, and operations.
Predictable cadence
Reviewable releases on a fixed schedule, in a live staging environment available throughout the engagement. Incremental delivery, transparent progress.
PRO
Sys
AI
SaaS
MVP
SEO
Cloud
Growth

Industries

Regulated workloads. Production-grade outcomes.

FinTech, HealthTech, EdTech, E-Commerce, SaaS. The compliance posture, integration surface, and risk profile are different in each. We translate regulatory requirements into architecture — controls in code, not in slide decks.

Explore industries
/ The Process

How we deliver.

Four phases, applied consistently across engagements. Scope, deliverables, and commercials are defined before the build begins — no mystery deliverables, no surprise invoices.

Engagement Profile

6–16

Weeks

4

Phases

50+

Engagements

Phase · 01Step 1 of 4

Define the problem before the solution

Discovery & Strategy

We map business goals, user needs, and the technical constraints in scope. The output is a written recommendation: scope, exclusions, architecture rationale, and the cost-benefit case behind each decision.

Deliverables

  • Product thesis & success metrics
  • User research & personas
  • Feasibility & risk assessment
1–2 weeks
Phase · 02Step 2 of 4

Architecture that survives scale

Architecture & Design

Architecture and UI in parallel. We commit to a stack we can defend in writing, design components against it, and deliver a clickable prototype before development begins.

Deliverables

  • System architecture
  • Technology selection & rationale
  • Design system & component library
1–2 weeks
Phase · 03Step 3 of 4

Reviewable releases at every checkpoint

Iterative Delivery

Reviewable releases on a fixed cadence. A live staging environment available throughout the engagement. Scope risks are surfaced the moment they emerge — not at the month-end invoice.

Deliverables

  • Fixed iteration cadence
  • Stakeholder demos & approval gates
  • Automated CI/CD pipelines
4–12 weeks
Phase · 04Step 4 of 4

Operational ownership beyond go-live

Launch & Operations

We stay on past go-live. Most engagements continue for at least six months post-launch — that's when production behavior surfaces, observability matures, and SEO/AIEO programs start compounding.

Deliverables

  • Zero-downtime deployments
  • Observability & on-call rotation
  • SEO · AIEO · analytics programs
Ongoing

Need a scoped plan for your engagement?

Complimentary 30-minute discovery call with a delivery lead.

/ Technology

The stack we ship in production.

A pragmatic toolkit, chosen for long-term operability over novelty. We standardize on what teams can actually run at 3am on a Saturday.

React
Next.js
TypeScript
Node.js
Python
Rust
TailwindCSS
GraphQL
Prisma
PostgreSQL
MongoDB
Redis
AWS
Google Cloud
Azure
Vercel
Docker
Kubernetes
Terraform
GitHub Actions
React
Next.js
TypeScript
Node.js
Python
Rust
TailwindCSS
GraphQL
Prisma
PostgreSQL
MongoDB
Redis
AWS
Google Cloud
Azure
Vercel
Docker
Kubernetes
Terraform
GitHub Actions
OpenAI
Claude
Gemini
LangChain
Hugging Face
Pinecone
TensorFlow
scikit-learn
FastAPI
Snowflake
Databricks
Apache Kafka
Apache Airflow
Stripe
Twilio
Supabase
Sanity
Figma
n8n
Datadog
OpenAI
Claude
Gemini
LangChain
Hugging Face
Pinecone
TensorFlow
scikit-learn
FastAPI
Snowflake
Databricks
Apache Kafka
Apache Airflow
Stripe
Twilio
Supabase
Sanity
Figma
n8n
Datadog