Prolixis is an AI infrastructure company that builds persistent memory and reasoning systems for intelligent applications, including Contivon, a Memory-as-a-Service API, and Atlas, a proprietary AI reasoning engine.

Contivon is a Memory-as-a-Service API built by Prolixis that gives AI applications persistent, namespace-scoped memory so agents and applications can retain context across sessions.

What is Prolixis Atlas?

Atlas is Prolixis's proprietary AI reasoning engine that powers its products internally, handling reasoning and decision logic across the Prolixis product suite.

Where is Prolixis based?

Prolixis is headquartered in Lucknow, Uttar Pradesh, India, and builds AI infrastructure used globally.

Technology — Prolixis Atlas

Atlas — the reasoning engine behind every Prolixis product.

Name: Contivon
Availability: InStock
Author: Prolixis

Atlas is our proprietary reasoning engine — a trained company model with multi-step planning, persistent memory, and identity-hardened execution baked into the runtime. It is the engine, not a chatbot.

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<50ms

Memory recall

Multi-step

Planning loop

Per-agent

Identity scope

Full trace

Decision audit

What Atlas is

A runtime for AI that thinks, remembers, and acts.

Frontier models are excellent generators. Production systems need more — durable memory, deterministic tool use, identity boundaries, and a way to recover when a step fails. Atlas is the layer that turns frontier reasoning into reliable execution.

We compose the best available models, adapt them to a customer's domain, and wrap them in a runtime engineered for regulated environments. The result is intelligence you can deploy — and audit.

Engine, not a chatbot

Composes frontier models — not constrained to one vendor.
Domain-adapted for the workflows our products serve.
Memory is first-class, not retrieved on the side.
Every action is logged, scoped, and reviewable.

Capabilities

Six primitives that make Atlas production-grade.

Multi-step reasoning

Plans, decomposes, and executes long-horizon tasks across tools, documents, and APIs — without losing context between steps.

Persistent memory

Structured + vector memory through Contivon. Atlas recalls entities, decisions, and prior outputs with sub-50ms retrieval.

Identity hardening

Per-agent identity boundaries, scoped credentials, and prompt-injection defence built into the runtime — not bolted on.

Tool & workflow orchestration

Native connectors for data rooms, fund admin systems, ERPs, and internal APIs. Deterministic execution where it matters.

Domain adaptation

A trained company model that improves on frontier models for industry-specific tasks.

Auditability by default

Every decision logged with inputs, retrievals, intermediate plans, and tool calls. Designed for SOC 2 and SEBI-grade review.

Architecture — Helios

Atlas is built on Helios — our internal model & runtime stack.

Helios is the four-layer system that powers Atlas. Each layer is independently versioned, instrumented, and replaceable as the frontier moves.

Reasoning kernel

Helios-Core

Atlas's planning + inference loop. Decomposes goals, selects tools, and recovers from partial failures.

Memory subsystem

Helios-Mem

Bridges Atlas to Contivon. Hybrid relational + vector recall with provenance attached to every chunk.

Safety layer

Helios-Guard

Prompt-injection defence, identity scoping, output validation, and policy enforcement at the runtime boundary.

Domain layer

Helios-Adapt

Lightweight, in-house adaptation that tunes Atlas to a customer's documents, terminology, and regulatory context.

  Application  ──►  Atlas (Reasoning Engine)
                       │
                       ├── Helios-Core   ── plans, executes, recovers
                       ├── Helios-Mem    ── recalls via Contivon
                       ├── Helios-Guard  ── identity, policy, injection defence
                       └── Helios-Adapt  ── domain-tuned model layer
                       │
                       ▼
                Tools · APIs · Data rooms · Workflows

Positioning

We don't compete with frontier labs. We make their output deployable.

Frontier labs

Train ever-larger models. Optimise for benchmarks and general capability.

Application layer

Wraps a model with a UI. Brittle in production, no memory, no audit trail.

Prolixis Atlas

Composes frontier models, adds memory, identity, and execution. Built for regulated, real-world workloads.

Every Prolixis product ships on the same engine.

Contivon

Memory platform

Persistent memory exposed as an API. Atlas powers retrieval ranking, conflict resolution, and recall.

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What's next

Internal R&D

New surfaces under active research at Prolixis Labs. Same engine, new applications.

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FAQ

Frequently asked questions.

Is Atlas a foundation model?
Atlas is a proprietary reasoning engine built on top of a trained company model. We do not compete with frontier labs on raw scale — we compose, adapt, and harden the best available models for real-world enterprise execution.
Is Atlas available externally?
No. Atlas is an internal engine that powers Prolixis products, starting with Contivon. Enterprises access Atlas's capabilities through our products and APIs.
How is data handled?
Customer data is isolated per tenant. Memory and retrievals stay within the customer's data boundary. We support on-prem and private-cloud deployments for regulated environments.

Atlas — Internal engine

Building on Atlas? Let's talk.

Atlas powers our products today and partner deployments tomorrow. Reach out for engineering reviews, partnerships, or research collaborations.

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