Our services

Services built for product velocity and resilience.

Whether you're launching a new product, migrating legacy systems, or adding AI to your workflows, Primesoft Tech offers focused service packages with clear outcomes and sustainable tech choices.

What we offer

Four core studios, one delivery model.

Each service package is staffed by senior engineers and matched to the exact stage of your product lifecycle — from discovery to launch and support.

01 Product engineering

Build customer-facing software that ships fast and stays stable.

We design and develop web and mobile applications with modern frontends, resilient APIs, and test-driven delivery. Every project is scoped into clear milestones, so you can see progress without the hidden surprises.

What’s included

User flows, product architecture, UI implementation, API development, automated tests, deployment pipelines.

Typical timeline

6–12 weeks for MVP, 3–6 months for full product delivery, with runway for iterative releases.

Tech we use

React, Next.js, TypeScript, Node.js, Python, PostgreSQL, Redis, GraphQL, Docker.

02 Cloud & infrastructure

Scale cloud platforms with safe automation and observability.

We design cloud architectures that minimize operational risk and reduce toil. You get automated CI/CD workflows, infrastructure-as-code, monitoring, and incident response patterns that keep your product available.

What’s included

Cloud strategy, IaC, deployment automation, security hardening, logging, and monitoring pipelines.

Typical timeline

4–8 weeks for small platforms, 8–16 weeks for larger multi-service environments.

Tech we use

AWS, GCP, Azure, Terraform, Kubernetes, Docker, GitHub Actions, Datadog, Sentry.

03 AI & automation

Add practical automation and intelligence to real workflows.

We build AI features that solve real business problems, not novelty demos. From process automation to recommendation systems, we help you move from model prototypes to robust product integrations.

What’s included

Use-case discovery, data review, model integration, workflow automation, monitoring, and iterative improvement.

Typical timeline

4–10 weeks for feature delivery, with ongoing tuning and monitoring as product usage grows.

Tech we use

OpenAI, LangChain, Python, FastAPI, Pinecone, Elasticsearch, MLflow, automation tooling.

04 Legacy modernization

Untangle old systems with low-risk modernization work.

We move legacy applications forward without rewriting everything at once. Our approach identifies high-value migration opportunities, preserves business logic, and improves observability as we go.

What’s included

Code audit, dependency cleanup, incremental migration plan, compatibility safety nets, test coverage, and deployment safeguards.

Typical timeline

4–12 weeks for stabilization and first-phase migration, with multi-phase rollout plans for larger systems.

Tech we use

Node.js, Python, Java, containerization, API gateways, database migration tooling, microservices patterns.

Ready to move forward

Talk to us about which service package fits your next milestone.