AI & Software — Strategic Engineering

We build reliable AI products and industrial-grade software for ambitious teams.

From model strategy to production-grade delivery — we turn complex problems into elegant, secure, and scalable systems that drive product-led growth.

Security-first
Secure deployments, compliance, and risk-aware AI design.
Fast iteration
Product-focused sprints; measurable outcomes each release.
Process

How we deliver measurable software and AI

A pragmatic, risk-aware approach to building systems that scale.

01 — Discover

Problem framing & prioritization

We map product outcomes, technical constraints, and data readiness to craft a practical roadmap.

02 — Build

MVP to production

Small, validated experiments that evolve into robust, monitored services.

03 — Operate

SRE, monitoring & improvements

Observability, A/B validation and continuous improvement tied to KPIs.

Capabilities

What we specialize in

Engineering, model ops and product strategy combined into one team.

Custom models
Task-specific models with data governance and lifecycle plans.
API & integrations
Design and secure production APIs for internal and external use.
Observability
Health, performance and model drift monitoring built-in.
Production ML Ops
CI/CD, model registry and reproducible pipelines.
Secure cloud architecture
Secure-by-design SaaS and internal tooling with least-privilege.
Product strategy
Roadmaps that align engineering efforts with measurable business outcomes.
Get in touch

Contact — start a conversation

Tell us about your challenge. We'll propose a concise, realistic plan.

Briefly describe the problem, timeline, and success metrics.
We typically respond within 48 hours.

Need a technical audit?

We offer short, focused audits to help teams validate architecture, security and model readiness.

  • Architecture & security review
  • Model & data readiness assessment
  • Delivery roadmap & cost estimate
Ready when you are

Book a technical call and get a no-obligation proposal

Schedule a call
Voices

What our partners say

Direct feedback from product and engineering leads we've worked with.

James S. — VP Product

Simplexed delivered a secure, performant API and helped us ship a model-driven feature in six weeks.

Aisha R. — Head of Data

They understood our constraints and brought pragmatic ML ops that scaled across teams.

Marco T. — CTO

Highly technical and product-minded — a rare combination. Operations and SLAs were delivered as promised.

Questions

Frequently asked

Concise answers to common questions about engagement and delivery.

How long does a typical engagement last?
We run short discovery phases (2–4 weeks) followed by iterative sprints. Full delivery timelines depend on scope.
Do you provide ongoing support?
Yes. We offer SRE and monitoring engagement options, SLAs, and on-call support where needed.
Can you work with our existing models?
We audit, refactor, and productionize existing models, including reproducibility and CI for model training pipelines.