Active Raise — Q3 2026 Close

AI Agents Are Replacing Operational Busywork

HelixCloudOps deploys 35 customer-facing autonomous agents (57 total including platform agents) to reduce reliance on $450K–$1.25M/year SRE (Site Reliability Engineering) teams. We're raising a $750K–$2.5M SAFE round at a $13M valuation cap to launch Q3 2026.

Summary

Investor Snapshot

1

Current raise target is $750K–$2.5M via SAFE at a $13M valuation cap for Q3 2026 launch execution.

2

HelixCloudOps currently reports 35 customer-facing agents (57 total including platform agents) with shared orchestration and governance layers.

3

Core differentiation centers on multi-LLM consensus, HelixModel confidence gating, and Bedrock-native runtime controls.

4

Company stage is pre-revenue with active platform buildout, pilot onboarding, and documented risk disclosures.

5

Financial and roadmap assumptions are available through direct investor diligence conversations.

$750K–$2.5M
Raising
$13M
Valuation Cap
SAFE
Instrument
Q3 2026
Launch Target
Pre-revenue
Stage
What We've Built

Development Highlights

Built in ~3 months. This is not a prototype or proof-of-concept — it's a working platform in production use (Customer Zero).

57 total platform agents35 customer-facing HCO + 22 platform/support agents across 8 lanes
576K lines production code8 repos; 1M–1.5M cumulative project-life
232+ API routesfully documented backend
47+ frontend pagescomplete product UI
Multi-LLM consensusBedrock-native LLMs (Claude, Llama, Nova Pro)
USPTO Provisional Patent #63/975,79420/20 claims filed February 2026
Customer Zeroplatform monitors itself with real AWS data
Multi-cloud readyAWS live, Azure + GCP adapters built
Core orchestration layerevent routing, skill matching, and cross-squad execution control in production architecture
HelixLearn learning loopoutcome ledger + nightly XGBoost retraining integrated into platform roadmap
NVIDIA Innovation LabH100 60-day grant for QLoRA fine-tuning research

Market Opportunity

TAM (Total Addressable Market)
$30B+
Global enterprise SRE (Site Reliability Engineering)/AIOps/cloud remediation by 2030
SAM
$8B
US mid-market/enterprise AWS in regulated industries
SOM (5-yr)
$75M ARR
300 customers × $250K ACV
Blended ACV Y1
$12,588
$1,049 MRR × 12 months
CAC (blended)
$8K
SMB-weighted Y1
Gross Margins
75%+
46% Y1 → 75%+ Y3 at scale
ICP
50–500 engineers
AWS-primary regulated mid-market

Use of Funds

Engineering Hires40%
Head of Engineering + team (July hire)
GTM / AWS Marketplace25%
Sales lead, Applify channel, marketing
Patent Prosecution15%
Non-provisional + PCT filing by Feb 2027
Infrastructure10%
AWS/EKS (Amazon Elastic Kubernetes Service) scaling, SOC 2 Type I (Service Organization Control 2 audit) roadmap
Reserves10%
Legal, G&A, runway buffer
Market Timing

Why Now?

Three forces are converging to create a massive market window.

SRE (Site Reliability Engineering) Teams Are Unaffordable

Mid-market companies spend $450K–$1.25M/year on cloud operations staff. LLMs (large language models) now make portions of this workflow automatable with policy constraints.

Agent Technology Matured

LLMs (large language models) reached a practical reliability threshold for constrained autonomous action in recent model generations. AgenticFlowPro applies this pattern to cloud operations with governance controls aligned to NIST AI RMF (National Institute of Standards and Technology AI Risk Management Framework).

Cloud Costs Out of Control

Cloud waste averages 32% of total spend for SMBs. Nobody is solving this with AI agents — yet.

Competitive Landscape

Competitive Advantage

HelixCloudOps combines autonomous workflows with multi-LLM consensus and HelixModel confidence gating. Table values below summarize documented differentiation points.

FeatureHelixCloudOpsDatadogNew RelicPagerDuty
Multi-LLM Consensus✓ Patent-pending
Autonomous Agents✓ 35 customer-facing HCO agents (57 total)
Self-Improving AI✓ Nightly XGBoost
Monthly Cost (SMB)~$5K/mo$23K+/mo$15K+/mo$10K+/mo
Setup ComplexityAutomatedHighMediumMedium
Multi-Cloud Ready✓ AWS live + Azure/GCP builtPartialPartialPartial

* Competitor pricing estimated from public pricing pages. HelixCloudOps pricing is estimated at $5K/mo for a 10-account managed environment.

Path to Revenue

Roadmap

From idea to a 57-agent platform in under 3 months. Here's where we've been and where we're going.

Q4 2025✓ Complete

Foundation

  • AgenticFlowPro LLC founded
  • Core platform architecture built
  • Cloud infrastructure deployed
  • HelixCloudOps concept validated
Q1 2026✓ Complete

Platform Complete

  • 35 customer-facing agents operational (57 total including platform agents)
  • USPTO Provisional Patent #63/975,794 filed (February 2026)
  • Multi-LLM consensus (Bedrock-native: Claude, Llama, Nova Pro)
  • Customer Zero: platform monitors itself
  • 670,000+ lines of proprietary code
Q2 2026✓ Complete

Traction & Recognition

  • NVIDIA Innovation Lab grant awarded — H100, 60 days (April 2026)
  • Platform reaches 1.2M+ lines of code across 5 repositories
  • 57 total agents deployed across HCO + platform orchestration
Q2 2026● In Progress

Go-to-Market

  • Beta launch with pilot customers
  • SOC 2 Type I certification
  • Seed/SAFE round close ($750K–$2.5M)
  • First revenue from beta accounts
Q3–Q4 2026○ Upcoming

Launch & Scale

  • General availability launch
  • Enterprise tier introduction
  • $100K MRR target
  • First enterprise contracts
2027+○ Upcoming

Scale & Expand

  • Series A fundraise
  • Azure + GCP full launch
  • $500K+ ARR
  • Platform partner ecosystem

Ready to Invest?

We're raising $750K–$2.5M on a SAFE at a $13M valuation cap. Minimum check $50K. MFN included; pro-rata rights for $100K+ commits.

Full financial model available on request
Platform demo available for qualified investors
Technical due diligence supported
References from programs: AWS Activate, NVIDIA Inception
Use Contact Form

Key Risk Factors

Honest disclosure for serious investors:

  • Pre-revenue — no paying customers yet
  • Single founder — key person dependency
  • Competitive market with well-funded incumbents
  • AI technology landscape evolving rapidly

Readability

Definitions and Claim Context

First-use definitions

SAFE (Simple Agreement for Future Equity)TAM (Total Addressable Market)SAM (Serviceable Available Market)SOM (Serviceable Obtainable Market)ACV (Annual Contract Value)CAC (Customer Acquisition Cost)SRE (Site Reliability Engineering)

How to read investor claims

  • Market sizing, margin targets, and ARR projections are planning assumptions and not guaranteed outcomes.
  • Competitive comparisons are based on public pricing and feature documentation available at analysis time.
  • Pilot and launch timelines may shift based on hiring, customer onboarding, and infrastructure readiness.

References: Amazon Bedrock documentation, NIST AI RMF, XGBoost documentation, AWS IAM best practices.

Let's Talk

Use the contact form to discuss the investment opportunity, request the financial model, or schedule a platform demo.