AI That Empowers.
Private by Design.
CustomAccess AI puts you in control of the most powerful AI tools available — with your data encrypted, your privacy respected, and an intuitive interface designed to help you get work done. Connect your systems, orchestrate your tools, and do more than you thought possible.
Your Data, Your Way
Your encrypted personal storage holds everything — documents, code, spreadsheets, research output, generated reports. Agents, workflows, and tools can be given access to specific files and folders based on what they need. You always have fine-grained control over what gets accessed and by whom.
Tools Built for Real Work
Web search, document analysis, knowledge retrieval with citations, document conversion, deep research, automated workflows, and customizable integrations — all in one workspace. Robust tools designed for real work, with a user-friendly interface that helps you leverage advanced capabilities without the learning curve.
Privacy Without Compromise
Three tiers of model privacy — you decide which ones touch your data. 🛡️ Fully self-hosted models with zero data egress. 🔒 Zero-retention cloud models for speed. ☁️ Frontier models when you need the cutting edge. Every message encrypted with per-user keys.
A Guardian Watching Your AI
AI that acts on your data needs a safety layer that does too. Our Guardian screens what the AI reads, what it tries to do, and what it sends — and asks you before anything risky happens. It's defense in depth, not a magic filter: one more layer alongside per-user encryption and least-privilege tools, not a promise that nothing can ever go wrong.
Prompt-Injection Defense
Attackers hide instructions inside web pages, documents, and tool results, hoping the AI will follow them. Guardian screens untrusted content the moment it comes back — before it can hijack the assistant — and refuses the hidden command.
Exfiltration Screening
When an automated workflow is about to send data to an outside system, Guardian inspects the actual outbound request and flags anything that looks like a data leak — pausing it for your approval before that request is sent.
Tool-Call Review
Before the AI takes an action that changes your data, Guardian can pause and ask. You approve or reject right in the conversation — so an over-eager or manipulated model can't quietly do something you didn't intend.
Answer Grounding
For answers drawn from your documents, Guardian checks whether the response is actually supported by the sources — and flags it when it isn't, so you know when to double-check rather than take a confident answer on faith.
Screened On Our Own Hardware
The Guardian is a self-hosted model running on the same private infrastructure as everything else. Your content is never shipped to a third-party safety service to be scanned — the same privacy boundary as the rest of the platform. Every Guardian decision is recorded for compliance, as metadata only — never the content it looked at.
A Workspace That Works As Hard As You Do
Real tools that help you accomplish more — not just answer questions.
Analyze Any File
Upload PDFs, Word docs, spreadsheets, code, images — even scanned documents. Our document engine extracts text, tables, and figures, indexes everything into your private knowledge base, and lets you ask questions across all of it.
Research in the Background
The AI searches the web, scrapes pages, and compiles structured research reports — running asynchronously while you work on other things. Come back to finished reports ready for review.
Write & Run Code
Python, JavaScript, shell scripts — written automatically and executed in a secure sandbox. Analyze datasets, generate visualizations, transform files, and iterate — all without touching your local machine.
Context That Persists
Persistent memory across conversations. Your preferences, project context, and working style carry forward. The AI gets better at helping you the more you work together.
Automate & Schedule
Define repeatable workflows — "every morning, pull ticket updates, summarize changes, generate a status report." Deterministic steps like validation, branching, and API calls run without an LLM — faster, cheaper, and more reliable than using AI for everything. Schedule workflows to run automatically.
Connect Your Systems
Call any HTTP API to connect the tools your team already uses. Deeper native integrations via MCP (Model Context Protocol) — Jira, GitHub, Slack, SQL databases — are coming soon.
Control Everything
Per-user encryption keys protect every message, file, and search. Choose which models access your data per conversation. Delete a conversation and it's gone — removed from the database, search index, and memory. You are always in control.
See It In Action
Work smarter, not harder. Use AI agents and tools to automate complex tasks and focus your time on what matters most.
From Raw Data to Clear Answers
Upload a spreadsheet, a financial report, or 500 customer survey responses. The AI extracts themes, runs sentiment analysis, generates charts, and delivers prioritized recommendations — work that previously required a data analyst or expensive software.
Example: "Here are our Q1 support tickets. What are the top complaint categories, how do they trend week over week, and which ones correlate with churn?"
Write Once, Scale Everywhere
Draft emails, reports, blog posts, and social media in a consistent voice — yours. Provide your style guide, tone preferences, and past content; the AI keeps your brand voice consistent. A solo founder can maintain a presence across 5 channels without a content team.
Example: "Write a LinkedIn post announcing our new partnership, in the same tone as last month's product launch post."
Ask Questions Across Everything
Upload your SOPs, handbooks, contracts, and policies. We index everything into a private, searchable knowledge base. Query it in plain English — get answers with sources. A 50-person company gets the institutional knowledge access of a Fortune 500.
Example: "What does our employee handbook say about remote work policies, and how does that compare to the client contract for Project Atlas?"
The AI Helps You Build
Not sure where to start? Describe what you want to accomplish in plain English and our AI assistant will help you build, test, and refine it step by step. Nearly 50% of workers lack access to enterprise AI tools, and only 16% have received any training. We built this platform specifically to close that gap — making you more capable, not demanding that you already are.
Go Further
Once you're comfortable, the platform scales with you. These are the workflows that most people never think to try — until they see what's possible.
Morning Intelligence Brief
The setup: Configure a workflow that monitors 50 competitor websites for product changes, pricing updates, and press releases, and pulls your sales data from your CRM's API.
Every morning at 7am: The workflow starts, crawls your watchlist, compares against yesterday's snapshot, pulls your pipeline data over its API, and generates a report with charts and prioritized action items — waiting for you before your first meeting.
Contract & Report Review
The setup: Point a workflow at a collection of contracts — or drop in a folder of PDFs.
What you get: It converts and reads each one, extracts the key terms, flags anything off-standard with a Guardian check, and writes a cited summary back into a collection — so your knowledge base stays current and every answer you ask it later is grounded in the source, with citations.
Daily Standup Prep
The setup: Connect your Jira and GitHub over their APIs.
Every morning: The workflow pulls yesterday's tickets, merged PRs, blockers raised, and comments you owe — prioritized by urgency. Your standup prep takes 30 seconds instead of 20 minutes.
Build Workflows That Think — And Act — For You
Build automations that search your documents, read files, research the web, call your APIs, and reason over it all — then branch, validate, and route the results. Describe what you want in plain English; the AI designs the workflow and opens it in a visual editor to review and refine. No code required.
AI Reasoning
LLMs analyze, summarize, evaluate, and generate — handling the steps that require judgment and creativity.
Research Your Knowledge & the Web
Search your documents and collections for cited answers, explore the entity graph of the people, organizations, and concepts across your files, and pull in live information from the web — all in one run.
Read & Analyze Documents
Convert and read PDFs, Word, PowerPoint, Excel, and images; summarize them, pull specific sections, and extract structured data — right inside a workflow.
Loop at Scale
Iterate over a list — every document in a collection, every row of data — with batching that fans work out to run thousands of items in parallel.
Connect Your Systems
Call any HTTP API — internal services, SaaS tools, external agents. Native integrations via MCP (Model Context Protocol) are coming soon.
Smart Conditions
Branch your workflow based on data rules or a constrained LLM yes/no — "only proceed if the research is comprehensive enough" — with built-in safety limits.
Human Approval
Route decisions to the right people. Workflows pause for human approval on sensitive, expensive, or compliance-critical actions — then resume automatically.
Validate & Repair
Guarantee the shape of a step's output against a JSON schema — and auto-repair a model that drifts off-format, then re-check, before anything downstream depends on it.
Route by Intent
Sort work into categories in a single fast model call — tickets into billing / technical / other, documents by type — and branch per category.
Describe It. Build It. Run It.
Tell the AI what you want to accomplish in plain English. It designs the workflow, wires in your tools and APIs, and opens the result in a visual editor for you to review and refine. Drag nodes, adjust parameters, then deploy — all without writing a line of code yourself.
Built on Privacy. Not Bolted On.
Security isn't a feature we added — it's the architecture we started with. Every layer of the platform is designed to keep your data under your control, encrypted, and private.
Encryption You Control
Every message, file, and search result is encrypted with per-user keys. Your data is encrypted at rest in storage and in transit between every service. Secure key management lets you store API secrets and credentials safely — use them with your integrations and tools without ever worrying about exposure.
You Choose Your Privacy Level
Every model is transparently labeled with its privacy tier. You decide which models can touch your data — per conversation, per context.
- 🛡️ Enclave — Self-hosted models. Zero data egress. Your data never leaves your environment.
- 🔒 Zero-Retention — Cloud models with contractual zero-retention guarantees. Fast, with no data stored.
- ☁️ Frontier — The latest models when you need cutting-edge capabilities.
Your Data Is Never the Product
We don't train on your data. We don't sell your data. Billing logs track token counts, never content. Data is handled with the utmost concern for privacy and security. Fully encrypted connections between all services.
A Guardian Layer for AI That Acts on Your Data
Giving AI your documents and tools is powerful — and it opens new ways for data to leak or for the AI to be manipulated. Our Guardian layer is built for exactly that: it screens what the AI reads, reviews the actions it takes, quarantines poisoned documents before they reach your search index, and flags the precise places an automated workflow could send data out or be hijacked — so you approve the risk before it happens. It runs on our own hardware, it's inspectable, and it's honest about its limits.
Explore our security approach →Simple, Transparent Pricing
Every plan gives you access to all models — from self-hosted Enclave to Zero-Retention cloud to frontier — with transparent per-token pricing. You are the customer, not the product.
Included in every plan
Free
Explore the platform and build a proof-of-concept.
- 1 seat
- Private enclave models (self-hosted)
- 5,000 execution steps / month
- 1 concurrent workflow
- $5 inference credits / month
- 1,000 document-indexing credits / month
- 100 MB encrypted storage
Pro
Move from prototype to production with serious automation.
- 1 seat
- All models — enclave plus cloud & frontier (Groq, OpenRouter)
- 50,000 execution steps / month
- 5 concurrent workflows
- $15 inference credits / month
- 20,000 document-indexing credits / month
- 5 GB encrypted storage (+$0.02/GB)
Team
Multi-user organizations — shared workspaces, per-seat billing, role-based access, and audit logging. In active development.
- Multiple seats with clear per-seat pricing
- Role-Based Access Control (RBAC)
- Audit logging & extended retention
- Higher usage & storage allowances
Enterprise
Custom deployment, SSO, and compliance for organizations with advanced requirements.
- Unlimited seats
- Custom execution limits
- Usage-based storage pricing, per-user quotas
- Negotiated local inference & BYOK
- Single Sign-On (SSO / SAML)
- SOC 2 & HIPAA compliance add-ons
- eDiscovery audit exports
- White-glove onboarding & support
How credits work: each plan includes a monthly inference allowance (in dollars) and a monthly document-indexing allowance (in credits). Both reset at the start of your billing cycle and do not roll over. Purchased credit is separate — it never expires, and one top-up covers both. If your indexing allowance runs out, we use your purchased balance automatically so a large import never stalls; you control that limit, and can cap or disable it. Execution steps and concurrent workflows are fair-use limits, not currency — they reset each cycle and are never billed.
Some features listed above are actively being developed and will roll out progressively. Pricing is subject to change — early adopters will be notified at least 30 days before any pricing changes take effect.
Frequently Asked Questions
Everything you need to know about the platform.
How is this different from ChatGPT or Copilot?
ChatGPT and Copilot are consumer tools that process your data on shared infrastructure under the provider's terms. CustomAccess AI is a private workspace — your data is encrypted with keys only you control, your conversations never leave your environment unless you explicitly choose a cloud model, and the platform gives you real tools (document and knowledge search with citations, document analysis, web research, scheduled automation) that go far beyond a chatbot.
What can the AI do with my files?
Files aren't just stored — they're active. Upload a contract and ask questions about it. Drop in a CSV and get analysis with generated charts. Store code files and have the AI refactor them. Your agents, workflows, and tools can read, edit, and write files in your encrypted storage. You control which files each tool can access.
What models are available?
Every plan includes access to all models across three privacy tiers. 🛡️ Self-hosted Enclave models for zero data egress. 🔒 Zero-Retention cloud models for fast responses with no data stored. ☁️ Frontier models when you need the latest capabilities. An intelligent orchestrator automatically routes to the best model for each task — or you can choose manually.
How does the workflow builder work?
Describe what you want in plain English — the AI designs the workflow for you. It breaks your goal into steps and wires in the right built-in tools: document and knowledge search, document conversion and analysis, web search, file and collection operations, plus any HTTP API you connect. It decides which steps need AI reasoning, adds branching, loops, validation, and human-approval gates where they belong, and opens the result in a visual editor for you to review and refine before deploying.
Can I automate recurring tasks?
Yes. Define workflows as step sequences — the AI runs them using every built-in tool, from document and knowledge search to web research, file operations, and any HTTP API you connect. Schedule them to run automatically ("every weekday at 7am") and they run in the background. Results appear as conversation threads you can review and follow up on.
Can I connect my own tools and systems?
Yes. Workflows can call any HTTP API, so you can connect the systems your team already uses — including external services and agents that expose an HTTP endpoint. Native integrations via MCP (Model Context Protocol) — Jira, GitHub, Slack, SQL databases, and more — are coming soon. Your API keys and credentials are stored in encrypted key management.
Can the AI work on multiple things at once?
The platform is designed for async execution. Kick off a deep research report, schedule a morning intelligence workflow, and continue working in another conversation — all simultaneously. Agents work in the background and notify you when they finish or need your input.
How is my data encrypted?
Per-user encryption keys protect every message, file, and memory. Data is fully encrypted at rest in storage and in transit between all services. When you delete a conversation, the data is crypto-shredded — removed from the database, the search index, and memory.
Can I run in Strict Privacy Mode?
Yes. Lock any workspace to 🛡️ Enclave models only — all cloud models are hidden, and zero data leaves your environment. For organizations with strict compliance requirements, this ensures complete data sovereignty.