Policy handbook, billing dataset, Slack thread, and web scope stay visible before the answer runs.
Give your team trusted AI.
Satinash connects approved files, websites, apps, and tools so answers arrive with citations, activity, and ownership.
Prompt rules, retrieval posture, model lane, and tool access travel with the workspace question.
Responses show citations, activity, and the next inspection path instead of unsupported claims.
Satinash connects to all your apps.
Plug in workplace apps, storage drives, issue trackers, docs, and customer systems while preserving source permissions and visible citation trails.
See all connectorsThe interface for trusted AI work.
Satinash turns client-side surfaces into proof: the user can see scope, answer activity, citations, connector state, and the next action.
Ask across approved knowledge
Chat, search, uploads, and citations stay tied to the files, sites, and tools your team has approved.
Shape answers with Cores
Reusable AI assistants carry prompts, model choices, retrieval scope, tool access, and policy into every workflow.
Keep proof visible
Source trails, activity, connector health, permissions, usage, and recovery states stay understandable for buyers and users.
One workspace, every source trail.
Satinash keeps indexed knowledge, live tools, model behavior, and team permissions understandable. The product is built so evaluation does not depend on trust-me demos.
Knowledge foundation
Datasets, My Files, web crawler scopes, and document readiness turn scattered content into usable context.
Connectors and tools
Storage integrations and MCP tools stay separated so teams know what is searched and what can act.
Customer-facing AI
Publish a governed Core as a widget with brand controls, origin restrictions, visitor forms, and upload policy.
Teams and plans
Workspaces, roles, resource allocation, usage visibility, and plan limits make rollout decisions concrete.
Storage connectors become trusted answers.
This is the simple path a buyer should understand first: sources become Datasets, Cores package the rules, and every chat or widget has a proof trail.
The buyer view
Storage connectors become Datasets. MCP live tool connectors become Core tools. Cores decide what a chat or widget can see, call, and cite.
- Storage sources become Datasets with approved folders, sites, uploads, and document readiness.
- MCP live tool connectors are attached to Cores as runtime tools, not indexed sources.
- Workspace AI chat and Public embeddable chat widgets reuse the same governed Core.
- Citations and the activity graph show what answered, what ran, and what proved it.
flowchart LR
subgraph Inputs["Approved inputs"]
direction TB
Storage["Storage sources<br/>Drive, SharePoint, Box, My Files, Web Crawler"]
Tools["MCP live tool connectors<br/>search, lookup, actions"]
end
subgraph Governance["Governed workflow"]
direction LR
Dataset["Datasets<br/>approved folders, sites, uploads"]
Readiness["Document readiness<br/>processed, skipped, stale, failed"]
Core["Cores<br/>prompts, models, retrieval scope, tool access"]
end
subgraph Channels["Answer channels"]
direction TB
Chat["Workspace AI chat<br/>grounded answers and activity"]
Widget["Public embeddable chat widgets<br/>Core-powered website assistant"]
end
Evidence["Citations and activity graph<br/>what answered, what ran, what proved it"]
Storage --> Dataset
Dataset --> Readiness
Readiness --> Core
Tools --> Core
Core --> Chat
Core --> Widget
Chat --> Evidence
Widget --> Evidence
classDef source fill:#f8fbff,stroke:#c7d7ef,color:#07111f
classDef control fill:#eef4ff,stroke:#245bff,color:#07111f
classDef channel fill:#f3fbff,stroke:#00a8db,color:#07111f
classDef proof fill:#07111f,stroke:#00b8ff,color:#ffffff
class Storage source
class Dataset,Readiness,Tools,Core control
class Chat,Widget channel
class Evidence proof Start where buyers need proof.
These pages lead with the client-side behavior that matters most: cited answers, datasets, Cores, connectors, widgets, teams, usage, and trust.
Persistent workspace conversations for asking, researching, drafting, and deciding with AI.
Open feature page Dataset-grounded answersResponses can use approved private knowledge instead of relying on generic model memory.
Open feature page Source citationsEvery grounded answer can point back to the files, pages, or records that supported it.
Open feature page Custom AI CoresSaved assistants package prompts, models, datasets, tools, defaults, and access rules.
Open feature page Connector catalogA searchable catalog helps users discover storage and tool integrations.
Open feature page Public embeddable chat widgetsPublish a Core-powered assistant onto external websites.
Open feature pageDeploy AI without hiding the controls.
Admin infrastructure stays high level on the public site: governed schedules, model and connector catalogs, background processing, telemetry, and recovery all support visible client workflows.
Pricing that maps to rollout.
Plans describe capacity, retrieval breadth, connector ₢, model lanes, widgets, and team controls in product terms.
Starter
$29Individuals proving source-grounded AI
- Workspace chat
- Core profiles
- Managed files
- Starter connectors
Team
$99Teams standardizing private AI workspaces
- Team workspaces
- Role permissions
- More datasets
- Widget publishing
Scale
CustomOrganizations with heavier retrieval and tool use
- Expanded limits
- Advanced model lanes
- Connector ₢
- Governance reviews