Building, evolving, and operating complex data & AI platforms — reliably and at scale.
Acosom provides hands-on engineering services for organizations that need to build and run complex data, analytics, and AI systems in production.
Our engineering work focuses on reliability, scalability, maintainability, governance, and long-term operability.
We engineer systems that are meant to run for years, not demos or short-lived prototypes.
From architecture to production-ready systems — engineering that delivers reliability at scale.
We build systems designed for production from day one, not demos that need rewriting later.
Clear boundaries, well-defined interfaces, and explicit ownership make systems maintainable.
Systems that remain stable under load, recover from failures, and scale predictably with usage.
We work with your teams, documenting decisions and transferring knowledge throughout the engagement.
Our engineers work as part of your teams, not as isolated contributors, ensuring alignment and shared responsibility.
Engineering is where architecture and governance become real — not separated from implementation.
A logistics company had a proof-of-concept streaming analytics system that looked promising in demos but kept failing under production load. The architecture was sound, but lacked operational stability, error handling, and observability. We refactored the system for production with proper fault tolerance, implemented comprehensive monitoring, and worked hands-on with the internal platform team.
Result: System handling 10x initial load without issues, 99.9% uptime over 12 months, internal team fully capable of operating the platform independently. The difference was production-grade engineering, not just a working prototype.
Our engineers work as part of your platform or product teams, not as isolated contributors.
Close collaboration with internal teams. Alignment with existing standards and processes. Pragmatic decisions under real constraints. Shared responsibility for outcomes.
Engineering is not separated from architecture or governance — it is where they become real.
Our engineering services cover the full lifecycle of modern data and AI platforms.
Building and evolving data platforms, batch and streaming pipelines, integration across systems, and platform automation and reliability.
Event-driven systems, real-time processing pipelines, and operational and analytical streaming use cases.
On-prem and hybrid AI platforms, model serving and optimization, and RAG pipelines and data integration.
Event-driven AI agents, workflow and system automation, and safe, auditable integrations.
Governance embedded into pipelines, data product enforcement, and policy-aware access and runtime checks.
Self-service streaming platforms with multi-team support and governance.
While every project is different, engineering engagements usually involve these key activities.
We understand existing systems and code, align with your standards and processes, and identify risks and technical debt.
Outcome: Fast, safe integration into your environment.
We implement platform components, build pipelines and services, introduce streaming and real-time capabilities, and harden systems for production.
Outcome: Working, testable, deployable systems.
We improve fault tolerance and observability, address performance bottlenecks, design for growth and predictable cost, and support incident analysis and resolution.
Outcome: Systems that stay stable under load.
We implement comprehensive testing strategies, validate behavior under various conditions, ensure reliability standards, and establish CI/CD pipelines.
Outcome: Confident, reliable deployments.
We profile system behavior, optimize resource usage, reduce latency and improve throughput, and ensure cost-effective operation.
Outcome: Efficient, high-performance systems.
We document architectures and decisions, work closely with internal engineers, and enable teams to own and evolve the platform.
Outcome: Reduced dependency on external support.
Consulting and Engineering can be engaged separately — but deliver the most value together.
Consulting clarifies what should be built and why
Engineering ensures it is built correctly and operated reliably
Many customers start with consulting and continue with engineering to ensure continuity and quality.
Staff augmentation provides bodies. Our engineering provides systems that work in production.
The difference:
Engineering is where architecture becomes real — we don’t separate design from implementation.
Both. We can engage for:
The engagement model depends on your needs. Many customers start with project work and continue with ongoing support.
Knowledge transfer is built into every engagement:
Success metric: Your team becomes increasingly independent over time.
Yes. We are technology-agnostic and work with:
We adapt to your environment rather than forcing specific tools. If we recommend changes, they’re justified by clear benefits.
Both. Our engineering includes:
We don’t just build and hand over — we ensure systems run reliably in production.
Our engineering is best suited for organizations that:
This is likely not a good fit if you’re looking for:
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