Company
Building intelligent infrastructure for AI.
Prolixis develops memory, reasoning, automation, and infrastructure systems for the next generation of intelligent applications.
Our mission
To build foundational technologies that enable software systems to reason, remember, and act.
We believe intelligence will become a core layer of software infrastructure.
The Prolixis thesis
Databases transformed data. Cloud computing transformed deployment. Artificial intelligence will transform software.
The infrastructure powering that future has yet to be fully built. Prolixis exists to help build it.
What we believe
Infrastructure first
Great products are built on great systems.
Research-driven innovation
Long-term progress comes from research.
Software should be intelligent
Intelligence is becoming a core software layer.
Long-term thinking
We optimize for decades, not quarters.
How we work
Research
Technology
Products
Customer feedback
Research
A continuous innovation cycle that connects research, engineering, and product development.
Prolixis Labs
The research division of Prolixis.
Milestones
May 2025
Prolixis founded
Dec 2025
Prolixis Contivon v1 launch
Jan 2026
Atlas Helios development
Feb 2026
FoundersYard launch
Mar 2026
IIT-Ropar TBI recognition
May 2026
Prolixis Labs established
Jun 2026
Atlas Helios v2 beta launch
Trust & governance
Legal entity
Prolixis (OPC) Private Limited
Research division
Prolixis Labs
Incorporated in India
Technology & research company
Recognized
Recognized by IIT-Ropar, India
Founding team
Shivansh Tiwari
Founder & CEO
Shivansh Tiwari is the Founder & CEO of Prolixis. He leads the company's mission to build trusted operational AI for businesses by developing intelligent software that combines persistent memory, advanced reasoning, and workflow automation. His vision is to help organizations move beyond AI assistants toward AI that can reliably support real business operations.
Founder's note
"Most companies build applications. We are interested in building the infrastructure that makes intelligent applications possible. That journey will take years. We believe it is worth pursuing."
— Shivansh Tiwari, Founder & CEO
What we build
Four systems, one operating layer.
Memory engine
Persistent, permissioned context that survives across sessions, users, and applications. Instead of resending history into every prompt, applications write to and query a durable memory store with retention, scoping, and retrieval controls built in.
Reasoning layer
Structured planning and tool orchestration on top of large language models. It turns a request into an inspectable sequence of steps, each with inputs, outputs, and a record of what the system decided and why.
Automation runtime
Long-running workflows that call internal APIs and third-party systems with retries, idempotency, and audit trails, so an AI-initiated action behaves like ordinary production software rather than a one-off script.
Infrastructure APIs
The interface teams actually integrate against: SDKs, authentication, rate control, observability, and versioning, so intelligence can be adopted incrementally instead of through a rewrite.
Editorial standards
Who writes here, and how.
Everything published on the Prolixis blog, research, and announcements sections is written by our own engineering and research team. Articles are drafted from work we have actually done — building memory systems, running retrieval pipelines, and shipping automation into production environments — not assembled from search results.
Every article carries a named author and a publication date. Technical claims are tied to observable behaviour: benchmarks state the setup used, architecture posts describe trade-offs we hit, and anything unproven is labelled as an open question rather than a conclusion. We do not publish sponsored posts, and we do not accept payment for editorial coverage or links.
When an article becomes outdated because an API, model, or our own product changed, we revise it in place and note the revision rather than silently deleting it. Corrections are made as soon as an error is identified. Readers can reach the team directly at prolixisofficial@gmail.com with a correction or a question about any piece.
Looking ahead