PromptliAI — Confidential
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Investor Overview — Confidential

Every enterprise grade AI deployment is ungoverned by default.
We fix that.

PromptliAI is the AI operating system that sits between every enterprise and every frontier model — enforcing policy, routing intelligently, logging everything, and running entirely inside the customer's own cloud.

Problem Solution Market Size Why Now Moat Competition Traction Team
250+
Customer interviews
46
Registered models
5-layer
Admissibility gate
Jul 1
Beta launch
The problem
The governance layer doesn't exist yet. Every enterprise knows it.

Frontier models ship with no audit trail, no policy enforcement, and no governance layer — and no visibility into what models are doing with enterprise data. Enterprises are deploying them anyway: 78% of their employees are already using personal AI accounts at work. The gap between AI adoption and AI governance is where the liability lives, accumulating faster than the tooling to contain it.

"A prompt is not governance. It never was. Enterprise-grade platforms are a different category — built for agents operating across thousands of employees, touching sensitive data and taking consequential actions."
At scale, governance cannot depend on what someone remembers to type. The control layer has to be architectural — not instructional. That's the category PromptliAI is building.
The solution
An AI OS that governs every interaction — before, during, and after.

PromptliAI is not a wrapper. It's a governed control plane that sits between the enterprise and every frontier model — enforcing policy at the prompt layer, routing intelligently across 46 registered models, executing agentic workflows with JIT credentials, and writing a tamper-evident audit trail for every single interaction.

01
Policy enforcement at the prompt layer
A five-layer admissibility gate evaluates every request before any model is touched — identity binding, session ownership, boundary constraints, prompt drift detection, and malicious prompt correction. If any invariant fails, execution stops.
02
Intelligent multi-model routing
The Model Council assembles a panel from 46 registered models based on intent × criticality × accuracy threshold. Runs candidates in parallel, grades responses, and routes to the best result — automatically, per request.
03
Agentic workflows with zero standing access
JIT credentials issued per step at execution time. Tokens scoped to the minimum required access, expire immediately after use. Refresh tokens KMS-encrypted. Full step-by-step audit trail written to the immutable ledger.
04
VPC-native deployment — your cloud, your data
Runs entirely inside the customer's cloud account — AWS CDK, DynamoDB, Lambda, API Gateway, Bedrock, Redis, S3 Object Lock. One endpoint. Live in minutes. No new trust boundaries, no data leaving the perimeter.
05
One tab. Tool sprawl eliminated.
Chat, agents, code assist, audit, and governance are self-contained inside the PromptliAI OS — one governed interface that replaces the sprawl of personal accounts, browser extensions, and ungoverned endpoints across an engineering org.
Market size
A new category at the intersection of AI infrastructure and enterprise security.

The market isn't AI software broadly — it's the governance and control layer that every enterprise grade AI deployment will require. That layer doesn't exist yet as a standalone product. We're building the default.

TAM
$97B
AI infrastructure & security
Global enterprise grade AI software and infrastructure market by 2030 — growing at 36% CAGR as every enterprise deploys AI at scale and requires governance infrastructure to match.
SAM
$18B
Enterprise Grade AI governance & orchestration
Enterprises with 250+ employees actively deploying AI agents who require compliant, auditable control planes — the CIO/CISO buying motion PromptliAI is built for.
SOM
$1.2B
Reachable in 36 months
Mid-market and enterprise SaaS companies in the US and UK deploying agentic AI workflows with compliance requirements — our direct beachhead.
Why now
Four forces converging. The window is open.
01
Agentic AI going mainstream
AI agents are moving from experiments to production workflows — touching Salesforce, GitLab, Jira, and financial systems. The blast radius of a governance failure just became catastrophic.
02
Regulatory pressure accelerating
EU AI Act, SEC disclosure requirements, and emerging state-level AI legislation are creating audit and traceability mandates that enterprises cannot meet with their current tooling.
03
Shadow AI creating board-level liability
CISOs are now being asked to account for AI usage they have zero visibility into. The governance gap has moved from an IT problem to a board-level risk conversation.
04
No incumbent owns this layer
Existing players — Portkey, Airia, Glean — solve adjacent problems. None provides the full governance stack: policy enforcement + multi-model routing + agentic orchestration + immutable audit trail.
Competitive moat
Three durable advantages that compound over time.
Architectural
The admissibility gate is the product
A five-layer invariant system that runs before any model execution is a fundamentally different architecture than prompt templates or API wrappers. It's not a feature — it's the control plane. Rebuilding it takes years, not months.
Data flywheel
Calibration compounds with every request
Every interaction trains the Model Council routing, IRR calibration, and variant grading system. The more data we see, the better our routing gets — and the harder it is for a new entrant to match our accuracy floors without our training corpus.
Distribution
VPC-native is a lock-in mechanism
When PromptliAI is deployed inside a customer's AWS account — their CDK stacks, their DynamoDB, their KMS keys — the switching cost is an infrastructure migration, not a subscription cancel. That's a fundamentally different retention dynamic.
Competitive landscape
Why existing solutions don't close the governance gap.
CompanyPolicy enforcementImmutable audit trailMulti-model routingAgentic + JIT credsVPC-native
PromptliAI✓ 5-layer gate✓ Hash-chained✓ Model Council✓ JIT per step✓ Native
Portkey~ Basic guardrails~ Log storage only✓ Routing
Airia~ Policy templates~ Partial logging~ Limited
Glean Agents~ Activity logs— Single model~ Limited
Build in-house~ Years of eng work~ Custom build~ Custom build~ Custom build✓ Eventually
Traction
Pre-launch signal from 250+ conversations.
Product & market validation
  • 250+ structured customer interviews — CISOs, CTOs, VP Engs at Series B through public enterprise
  • 46 frontier models registered — Anthropic, OpenAI, Meta, Mistral, Amazon, and private deployments
  • Full CDK stack built and deployed — DynamoDB, Lambda, API Gateway, Bedrock, Redis, S3 Object Lock, KMS
  • Admissibility gate (A1–A5) operational — five-layer invariant system live in test environment
Go-to-market momentum
  • Enterprise design partner program open — early cohort of CISO and CTO-led evaluations in pipeline
  • Micro-influencer partnership program launching mid-June — curated network of enterprise tech and AI operators driving category-level awareness ahead of beta
  • Coordinated social media campaign underway — content strategy targeting CISOs, CTOs, and VP Engs across LinkedIn and X; full rollout mid-June through beta launch
  • Non-dilutive funding pipeline active — AWS Activate, NSF SBIR, and women-founder grant applications in progress
  • Beta launch July 1, 2026 — full platform access with governed endpoints, audit dashboard, and agent runner
Team
Built by someone who lived the problem.
Founder & CEO
Cloud infrastructure engineer turned founder. Built distributed systems, IAM architectures, and Terraform — CDK migrations at scale across East Coast enterprise roles before relocating to San Francisco to build PromptliAI full-time. The governance gap wasn't a thesis — it was something she ran into repeatedly on the job.
Applied AI Engineer
Applied AI engineering hire focused on model routing, the Model Council architecture, and the calibration engine. Responsible for the variant grading and IRR tracking systems that make PromptliAI's routing improve with every request.
Contractor — Infrastructure
Infrastructure contractor supporting the AWS CDK stack build-out, ephemeral environment deployment system, and GitLab MR-triggered isolated stack architecture. Core platform reliability and deployment engineering.
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