Production baseline
Cloud accounts, IAM, secrets, logging, backups, deployment flow, monitoring, and incident basics configured as a repeatable starter stack.
For SaaS + AI agent MVPs
Launch fast. Look trustworthy from day one.
Prodogon gives founders a secure, compliance-aware product foundation for SaaS and AI agents. Instead of duct-taping infra, policies, evidence, and AI safety later, you start with the trust layer already built in.
Have a trust launch
on Day 1
from vibecoded MVP to trust-ready prod environment
Secure cloud baselineDone
Access, logs, backups, secretsDone
AI agent registry and oversightDone
Security-review evidence packDone
Built to support the reviews startups meet first
SOC 2
ISO 27001
GDPR
EU AI Act
NIST AI RMF
ISO 42001
The wedge
Most MVPs are fast. Few are credible.
Prodogon helps technical founders ship the first version customers can actually trust: secure-by-default infrastructure, AI agent guardrails, and evidence that makes enterprise conversations easier.
AI agent safety layer
Agent inventory, model and tool permissions, data boundaries, human review paths, evaluation logs, and risk notes from the beginning.
Evidence on day one
Security questionnaires, customer diligence, audit prep, and privacy review become outputs of how the MVP is built, not a cleanup project.
Workflow
The founder-friendly path from demo to deal.
Prodogon is designed for teams still moving fast. It hides the compliance machinery behind practical setup, checks, and exports.
01
Describe the product
What the SaaS does, where customers are, what data it touches, and what the AI agent is allowed to do.
02
Generate the trust stack
Prodogon sets up the secure baseline, chooses the right review path, and creates the initial controls and policies.
03
Ship with evidence
You leave with a working MVP, a cleaner architecture story, and a review pack for early customers and investors.
Trust coverage
Enough compliance to win trust. Not enough to slow the company down.
The product focuses on the standards early SaaS and AI companies are most likely to meet in sales, diligence, and regulated pilots. Deeper frameworks are activated only when the customer or market requires them.
SecuritySOC 2 readiness, ISO 27001 alignment, access control, logging, incident readiness, backups, vendor records.
PrivacyGDPR basics, data inventory, retention, subprocessors, DPA structure, customer data handling story.
AI governanceAgent inventory, risk notes, model cards, evaluations, human oversight, tool boundaries, audit trail.
What buyers see
A young product that feels operated like a serious company.
Prodogon makes the invisible work visible: architecture choices, security controls, privacy posture, AI safeguards, and the open items still being closed.
Security reviewAccess, encryption, logging, backups, incident process
AI diligenceAgent scope, tool access, human review, evaluation history
Privacy reviewData map, subprocessors, retention, DPA, deletion workflow
Founder narrative“We built this properly from the start.”
Build the MVP customers can say yes to.
Prodogon is looking for design partners building B2B SaaS and AI agents where trust, security, and governance can unlock the first serious customers.
Best fit: technical founders building SaaS + AI agent MVPs for enterprise, regulated, or data-sensitive customers.
Outcome: a working product foundation, a cleaner trust story, and evidence that helps sales conversations move forward.