Mitigate risk
Attacks start in the inbox and spread to the endpoint. We watch both with one AI that judges behavior, not a list of names.
Investor relations
CloudCastle is shipping three products in sequence — Email Security, AI-native antivirus, and an autonomous AI technician — and training its own security model on partner compute. Every release cuts risk, cuts downtime, and keeps expensive attacks from ever landing.
Why now
Attacks start in the inbox and spread to the endpoint. We watch both with one AI that judges behavior, not a list of names.
Downtime is the bill nobody budgets for. Our AI technician fixes routine problems before anyone files a ticket.
One ransomware event can cost more than a decade of protection. We are priced so that never happens to a customer.
Legacy tools recognize only threats someone already named and still need a human to clean up; CloudCastle judges behavior, acts on its own, and records what it changed.
The platform
Every product sits on the same CloudCastle security model, so email, endpoint, and IT operations all judge behavior with one brain. Each layer we ship makes the layers above it cheaper to build and better at their job.
Product roadmap
Quarterly release cadence. Every stage ships to paying customers, gets a full test cycle, and is proven before the next one starts.
Q4 2026
Shipping nowTwo ways to protect the inbox, sold together or apart: a secure email gateway that sits in front of the mail server (the Proofpoint model), and API-based analysis that inspects mail already inside Microsoft 365 and Google Workspace (the Perception Point model). Built for small and mid-size businesses and for enterprise tenants on the same engine.
Q4 2026
FundraisingFunds Email Security go-to-market and the compute-partner applications below.
Q1 2027
ComputeApplications filed with every hyperscaler and model-maker program listed on this page. Credits fund the first training runs of the CloudCastle security model.
Q2 2027
Next releaseEndpoint protection with the CloudCastle model built in. Judges behavior on the device to stop zero-day exploits and hands-on-keyboard attacks that have no signature yet, and explains every action it takes.
Q3 2027
AIOur own model, trained on email, server, and endpoint telemetry from live customers, replaces the general-purpose models we use today. Goal: beat the incumbents on detection rate and time to fix.
Q4 2027
FundraisingScales sales and the training pipeline; funds the autonomous technician.
Q1 2028
PreviewAn autonomous agent that fixes non-security problems on endpoints the moment they appear: slow machines, broken updates, printer and driver faults, disk and login issues. Small businesses get an IT department without hiring one.
Q3 2028
PlannedFull autonomy with a recorded audit trail for every change. Positions CloudCastle as the single platform for security and IT operations.
Q4 2028
FundraisingGrowth capital for enterprise and MSP channel expansion and model v2.
Funding plan
Targets, not commitments. Each round opens only after the milestone before it is live with customers.
$3M target
Q4 2026
$15M target
Q4 2027
$40M target
Q4 2028
Round sizes, dates, and outcomes are targets and forward-looking statements. They can change as the business and the market change.
Partner compute
Hyperscalers and model makers give qualifying AI startups large compute grants. We meet the requirements for each program below and are applying to all of them, then stacking the credits to train the CloudCastle security model.
Up to $1,000,000
Activate Portfolio credits up to $100K; AI tier up to $300K; the Generative AI Accelerator cohort up to $1M.
Business domain, live product, institutional backing for Portfolio; accelerator application each summer.
Up to $350,000
$250K in year one, $100K in year two, plus $12K enhanced support.
Pre-seed to Series A funding from an institutional investor, founded within five years, AI-first product.
Up to $150,000
Azure credits unlocked by milestone, covering GPU compute and Azure OpenAI; up to $200K through the Microsoft Investor Network.
B2B, proprietary software, business verification, sustained Azure usage across 10+ services.
70% discount
Deep OCI discount plus always-free tier for GPU and bare-metal training.
New OCI customer with a validated product.
Up to $120,000
$10K per month for 12 months at the premium level, usable on watsonx and GPU infrastructure.
Under five years old, under $1M revenue, venture or accelerator referral.
Partner access
Preferred pricing and partner credits across AWS, Azure, and Google Cloud, plus DGX Cloud access and training.
AI-focused company; free to join, no equity.
Up to $2,000,000
API credits from $2.5K standard to seven-figure cohort grants for startups training with OpenAI models.
Referral through a partner VC or accelerator for the larger tiers.
Up to $100,000
$5K standard, $25K partner tier, premium tier at Anthropic's discretion.
Incorporated company; partner referral for the upper tiers.
Bundled credits
Grok API credits offered through accelerator and cloud partner perk programs.
Access through partner programs; no standalone startup program yet.
Up to $250,000
GPU cluster credits and discounts sized per company for large training runs.
AI startup with a training workload; application reviewed per company.
Up to $50,000
Credits for fine-tuning, inference, and clusters across Build, Scale, and Grow tiers.
Tiered by funding stage.
Up to $100,000
Discounted pricing and larger credit packages through VC-partnered tiers.
Venture-backed for the credit tiers.
Program terms as published September 2026; each provider sets final amounts and eligibility. Credits are valued at list price and usually expire within 12 months, so we schedule training runs to match.
We will not receive every ceiling. Winning a third of it funds model v1 and v2 without touching investor capital.
Talk to the founders, see the numbers, and watch the product work on a live endpoint.