Helium AI
SLIDE 01 · ABOUT US

The Intelligence
Operating System
for the Enterprise

NeuralArc is building the intelligence infrastructure layer for the enterprise AI era — enabling organisations to govern, orchestrate, and operationalise AI across the entire enterprise through a single, unified intelligence system.

Prepared by
Aniket Tapre
Aniket Tapre Founder & CEO
Sheetal Patole
Sheetal Patole Co-Founder
WHY
The Problem We Exist to Solve

Enterprises are entering a critical and increasingly complex phase of AI adoption — deploying disconnected copilots, fragmented workflows, and unmanaged AI tools across the business. This is creating one of the most significant governance and operational risks in modern enterprise environments: Shadow AI. The challenge is no longer access to AI. It is control, coordination, memory, and trust at scale.

HOW
Two Proprietary Technologies at the Core
Helix
NeuralArc's orchestration engine — coordinating multiple AI agents and LLMs in parallel across enterprise workflows. Intelligent task routing, cross-agent collaboration, and dynamic execution at organisational scale.
AIM
Adaptive Intelligence Memory — the platform's persistent organisational memory layer. Every interaction compounds intelligence over time. While competitors can replicate surface-level features, they cannot replicate accumulated institutional context.
WHAT
Three Operational Layers — One Governed Architecture
Govern
Unified oversight, compliance, access control & policy enforcement across all AI activity from a single control layer
Teams
Collaborative human-and-AI workflows across departments — transforming AI from isolated tooling into coordinated organisational capability
Autonomous
Helium Bees — fully operational AI agents executing end-to-end workflows across enterprise systems with minimal human intervention
55K+
Active Users
240%
MoM Growth
Fastest in category
2
Servicing Partnerships
Signed & active
14
B2B Clients
In progress
Helium AI
SLIDE 02 · PRODUCT

Helium AI — Under the Hood

How the platform is built, what it does, and why it was created.

Why Helium Was Built
The AI market reached a critical inflection point: powerful models existed everywhere, but no unified layer existed to govern, coordinate, and operationalise them for business. Enterprises were accumulating disconnected AI tools — each with its own interface, its own context, and no shared memory. The result was Shadow AI: uncontrolled, invisible, and dangerous. Helium was built to be the single intelligence operating layer that sits above all AI models, orchestrating them together with persistent memory and enterprise-grade governance.
HOW IT WORKS — THE ARCHITECTURE
Input
User Prompt
Single instruction from any user or automated trigger
→
Orchestration
Helix Engine
Fragments prompt, routes tasks across 12–14 AI models in parallel
→
Memory
AIM Layer
Validates outputs against persistent organisational context
→
Output
Unified Result
Single coherent output — brand-aligned, context-aware
WHAT HELIUM PRODUCES — FROM A SINGLE PROMPT
Word Documents
Excel Spreadsheets
PDF Reports
Landing Pages
Audio Narration
Presentations
Research & Analysis
Autonomous Agent Actions
CORE CAPABILITIES
Helix Orchestrator
Proprietary engine that fragments prompts and distributes tasks across 12–14 leading AI models simultaneously. The user never chooses a model — Helix selects the best for each task fragment and synthesises a unified output.
AIM — Adaptive Intelligence Memory
Persistent memory layer that stores organisational context — brand guidelines, product data, customer history, and preferences. Every output is grounded in real context. Memory compounds over time, creating an institutional intelligence asset.
Helium Teams
Enterprise collaboration layer with shared AIM Memory controlled by the admin, individual private workspaces, role-based access, and employee continuity — company knowledge stays when staff leave. No other platform offers this separation.
Helium Bees — Autonomous Agents
Fully autonomous AI agents that execute end-to-end workflows across enterprise systems — CRM, billing, network telemetry, email — without human intervention. Bees act on triggers, not instructions, operating 24/7 at organisational scale.
Governance & Admin Console
Full visibility and control over all AI activity across the organisation. Access policies, usage monitoring, data separation enforcement, and compliance controls — all from a single admin layer. Enterprise-grade governance built in from day one.
Auto-Triggers & Integrations
Connects to email, CRM, billing, and network systems. Automated triggers fire Helium workflows based on real-world events — a customer browsing a competitor, a contract nearing expiry, a network fault detected — without any manual initiation.
Helium AI
SLIDE 03 · COMPETITIVE ANALYSIS — PART 1 OF 2

Helium AI vs. The Competition

Intelligence, Memory & Autonomous Execution — where Helium leads by design.

Helium AI
Enterprise Intelligence OS
ChatGPT
OpenAI
Claude
Anthropic
Gemini
Google
Manus
Autonomous Agent
Genspark
AI Workspace
Capability
⬡
Helium AI
ChatGPT
OpenAI
Claude
Anthropic
Gemini
Google
Manus
Monica / Meta
Genspark
AI Workspace
INTELLIGENCE LAYER
Multi-model orchestration (12–14 models simultaneously)
✓
✗
GPT-only
✗
Claude-only
✗
Gemini-only
~
Limited
~
MoA routing
Prompt interpretation & auto-enhancement (Helix)
✓
Helix engine
✗
✗
✗
✗
✗
Deep / wide research (100+ sources)
✓
✓
Deep Research
~
Web search
✓
Deep Research Max
✓
Wide Research
✓
Sparkpages
MEMORY & CONTEXT
Persistent organisational memory (AIM)
✓
Cross-session
~
User memory only
~
Projects only
~
Advanced only
~
Session memory
~
AI Drive files
Shared team memory (admin-controlled)
✓
AIM Teams
~
Projects + Skills
~
Team/Enterprise
✗
✗
~
Teams spaces
Memory import from other AI platforms
✓
✗
✗
~
Import from ChatGPT/Claude
✗
✗
AUTONOMOUS EXECUTION
Autonomous end-to-end workflow execution (Bees)
✓
Proactive + Reactive
✓
Operator + Agents
~
Claude Code
~
Gemini Agents
✓
Autonomous tasks
✓
Super Agent + Claw
Event-triggered automation (no human prompt required)
✓
~
Tasks feature
✗
✗
✗
~
Workflows only
Browser automation & web interaction
✓
✓
Operator
~
Computer Use
~
Project Mariner
✓
Browser Operator
~
Super Agent web
12–14
AI Models, Simultaneously
Helix orchestrates over a dozen leading models in parallel per prompt. Every competitor locks you into one. Helium gives you the best of all of them, every time — automatically.
AIM
Memory That Compounds
Unlike session-based memory in ChatGPT or Claude, AIM is persistent, organisational, and admin-controlled. It grows smarter with every interaction — and it belongs to the company, not the individual.
Bees
Agents That Act, Not Just Answer
Helium Bees fire on real-world events — a customer browsing a competitor, a contract nearing expiry — and execute end-to-end workflows across CRM, billing, and network systems without any human prompt.
Helium AI
SLIDE 04 · COMPETITIVE ANALYSIS — PART 2 OF 2

Output, Enterprise & Governance

Where Helium's enterprise architecture creates an insurmountable moat.

Capability
⬡
Helium AI
ChatGPT
OpenAI
Claude
Anthropic
Gemini
Google
Manus
Monica / Meta
Genspark
AI Workspace
OUTPUT & CREATION
Multi-format output (Doc, XLS, PDF, Web, Audio, Video)
✓
All formats
~
Text + images
~
Text + artifacts
~
Text + Omni video
✓
Apps + slides
✓
Full office suite
AI image & video generation (Prism)
✓
Prism + video
✓
DALL·E + Sora
✗
✓
Gemini Omni
✓
AI image gen
✓
Image + video
Presentation builder (Mantis)
✓
Native Mantis
✗
✗
~
Google Slides native (basic quality)
✓
AI Slides
✓
AI Slides
Dedicated coding assistant / IDE integration
✗
✓
Canvas + Codex
✓
Claude Code
✓
Code Assist
~
Code via agent
~
Code via agent
Advanced voice mode (real-time speech-to-speech)
✗
✓
Advanced Voice Mode
~
Voice Mode (beta)
✓
Gemini Live
✗
~
Speakly
ENTERPRISE & GOVERNANCE
Enterprise governance & admin console
✓
Full audit trail
✓
Enterprise tier
~
Claude for Work
✓
Workspace Admin
~
AWS Bedrock
~
SOC2 + admin
Personal / business data separation (by design)
✓
By design
~
Enterprise only
~
SOC2, Enterprise
✗
✗
✗
CRM / billing / network system integration
✓
20+ connectors
~
SharePoint, Drive, GitHub
~
Drive, web
~
Google Workspace
✗
~
M365 plugins
Layers on existing stack (no rip-and-replace)
✓
~
SharePoint, Drive, GitHub
✗
~
Google Workspace native
✗
~
M365 add-in
Shared prompt library across team
✓
~
Skills w/ admin controls
✗
✗
✗
✗
OVERALL SCORE — 18 ENTERPRISE CAPABILITIES
Helium AI
15 / 18
ChatGPT
11 / 18
Genspark
10 / 18
Gemini
9 / 18
Manus
9 / 18
Claude
7 / 18
Helium's Position in the Market
OpenAI, Anthropic, and Google have built extraordinary foundation models — and Helium uses all of them. Helium is not a replacement for large language models. It is the operational layer above them — the orchestration, memory, governance, and execution infrastructure that makes them work together reliably for enterprise use. Manus and Genspark offer autonomous agents and broad output formats, but without persistent organisational memory, admin-controlled data separation, or event-triggered automation grounded in real business context. No platform today combines all of these capabilities in a single, governed, production-ready system.