Illustrated research campus overlooking a valley
    AI Infrastructure Company

    Building the Infrastructure Behind Intelligent Software

    Prolixis develops foundational infrastructure that enables software to understand, remember, reason, and act — powering the next generation of enterprise AI.

    Contivon — Public BetaAtlas Runtime — InternalIIT Ropar TBI SupportedDPIIT Recognized StartupProlixis Labs ResearchFoundersYard ProgrammeContivon — Public BetaAtlas Runtime — InternalIIT Ropar TBI SupportedDPIIT Recognized StartupProlixis Labs ResearchFoundersYard Programme
    Our Infrastructure

    Foundational systems.
    Intelligent software.

    Prolixis is built around composable infrastructure layers — context, intelligence, and developer tooling — each powerful alone, and stronger together.

    01

    Context Infrastructure

    Contivon

    Persistent context and memory for intelligent software — so applications retain user context, preferences, and prior work across sessions and tools.

    Hybrid storage · Fast recall · SOC 2 (in progress)

    02

    Intelligence Runtime

    Atlas

    Reasoning and orchestration engine powering Prolixis products. Atlas plans multi-step workflows and executes them reliably under governance.

    Multi-step planning · Identity hardening · Audit-friendly

    Featured Product

    Contivon — Persistent Context Infrastructure

    A production-ready memory platform for intelligent software.

    Contivon enables AI applications to retain context across users, sessions, and workflows — so every interaction feels informed, continuous, and personal.

    Live

    "It feels like the app finally knows me."

    Products

    Infrastructure to ship intelligent applications.

    All products

    Persistent Context Infrastructure

    Contivon

    Generally Available

    v2.1

    A production-ready memory platform that enables AI applications to retain context across users, sessions, and workflows.

    contivon.com · public beta

    Visit Contivon

    Reasoning Runtime

    Atlas

    Internal Platform

    v3.0

    The reasoning and orchestration engine behind every Prolixis product. Not sold standalone — it makes the rest of the stack think a few steps ahead.

    How Atlas works
    Latest Releases
    Changelog
    Product

    Contivon v2.1

    Persistent Context Infrastructure

    Production-ready context and memory platform for AI applications. Public beta open at contivon.com.

    Jun 2026Read more
    Engineering

    Atlas Runtime v3.0

    Intelligence Runtime

    Advancements in reasoning, orchestration, runtime optimization, and infrastructure hardening.

    Mar 2026Read more
    Research

    Prolixis Labs

    Research & Publications

    Exploring the future of intelligent software, AI infrastructure, context engineering, and autonomous systems.

    May 2026Read more
    Mission

    Building the next layer of intelligent software.

    Modern software needs more than AI models. It needs infrastructure that enables intelligence to persist, reason, and operate reliably. Prolixis is building the foundational systems that make this possible.

    About Prolixis

    FoundersYard · Built by Prolixis

    The growth ecosystem for startup founders.

    FoundersYard is our founder-first platform — built by Prolixis to help builders ship their products, grow in public, connect with other founders, and unlock distribution. One place to launch, learn, and compound.

    • Launch

      Ship & showcase products

    • Build in public

      Share your journey

    • Connect

      Founders, builders, operators

    • Distribute

      Reach early adopters

    What we stand for

    Infrastructure earns trust by behaving the same way twice.

    We build the layer beneath intelligent software — memory that persists, reasoning that can be inspected, and execution that fails predictably. These are the commitments we hold ourselves to while we build it.

    01

    Memory before magic

    Systems become useful when they retain context across sessions, tools, and teams. We start with durable state, not with a demo.

    02

    Reasoning you can audit

    Every decision path our runtime takes should be reconstructable after the fact. Explainability is an engineering requirement, not a report.

    03

    Predictable failure

    Real workloads break. We design for partial failure, retries, and clean recovery so that an incident degrades a task rather than a business.

    04

    Claims we can defend

    We publish what we have measured and mark what is still in progress. No certification, benchmark, or customer outcome is stated before it is real.

    Get in touch

    Let's build the next layer of intelligent software, together.

    Talk to us about pilots, partnerships, research collaborations, or early access to what we're building next.

    Newsletter

    Subscribe for product updates, research drops, and release notes — direct to your inbox.

    No spam. Unsubscribe anytime.