A Unified AI Workspace for Execution
With Dapto, you can:
Workspaces for Collaboration
Collaborate in real time with shared chats, team visibility, and consistent guardrails across your org.
Projects that Keep Work Organized
Group conversations, prompts, and outputs into projects so work stays structured and searchable.
Chat with Any Model
Use OpenAI, Gemini, Claude, Llama, Mistral, and self-hosted LLMs - switch anytime in one session.
Build Autonomous AI Agents
Turn repeat tasks into agents that follow your instructions, run workflows, and stay within policy.
Connect Your Stack
Plug into docs, databases, and APIs to ground answers in approved business knowledge and data.
Governance Built In
RBAC, masking/redaction, policy enforcement, and audit logs - without slowing teams down.
A Simple Flow - Built for Real Work
Start solo, scale to teams - with the same workspace, models, and guardrails.
Start in a Workspace
Create a workspace for your team and organize work into projects. Keep conversations, outcomes, and decisions together - and visible to the right people.
Example: Finance creates a workspace with projects for “Close”, “Budgeting”, and “Vendor Management” so work stays organized.
Choose Any Model
- • Switch between OpenAI, Gemini, Claude, Llama, Mistral, and self-hosted models.
- • Compare outputs or route different sub-tasks to different models.
Example: Use one model for drafting, another for summarizing, and another for structured extraction - in one session.
Connect Knowledge
Connect databases, document repositories, and APIs so answers use approved business context - not guesswork.
Example: A finance analyst asks about a variance and Dapto pulls only approved data sources and documentation.
Turn It Into an Agent
Save instructions, tools, and patterns as agents so tasks can be executed consistently - by you or your team.
Example: “Close Assistant Agent” that prepares variance summaries, drafts commentary, and formats deliverables.
Governance Built In
- • Role-based access (RBAC) and workspace permissions.
- • Data masking/redaction and policy enforcement on prompts and responses.
- • Audit trails for traceability and compliance readiness.
Example: Sensitive fields are automatically redacted before being shown or shared.
Works Across Your AI and Your Stack
Use Dapto in the UI or integrate it via API - with the same routing, policies, and audit trail.
Works with Any AI Model
OpenAI, Gemini, Claude, Llama, Mistral, self-hosted LLMs, and custom models.
Connects to Business Systems
Docs, SQL databases, data warehouses, BI tools, and internal APIs - so AI answers are grounded.
UI + API, Same Guardrails
Build and standardize in the Console, then reuse via API in products and workflows without duplicating logic.
Multi-LLM Conversations + Autonomous Agents
Pick the best model per task - then turn the workflow into an agent your team can reuse.
🔹 Use Any LLM, Anytime
Switch models inside one workspace and one conversation. Compare outputs, route tasks, and avoid vendor lock-in.
Example
Draft with one model, extract structured data with another, and summarize for executives with a third - without leaving Dapto.
✅ Models
OpenAI, Gemini, Claude, Mistral, Llama, self-hosted LLMs, and more.
🧠 Agents That Execute
Create agents that follow your instructions, run repeat workflows, and operate within policies - so output is consistent and shareable.
What agents can do
- ✅ Standardize team workflows
- ✅ Execute multi-step tasks (draft → review → format)
- ✅ Stay within workspace permissions and policy
Why this matters
Avoid vendor lock-in: pick the best model for each task.
Reuse best practices: turn team workflows into shareable agents.
Move faster with control: permissions and policies travel with the work.
Keep work organized: projects and history make outputs repeatable.
Agents and Workspaces for Real Teams
Finance, Insurance, and Healthcare teams use Dapto to move faster - with consistent outputs.
Finance Close Agent
Problem: Close narratives, variance explanations, and reconciliations take too long and vary by analyst.
Solution in Dapto:
- • Ground responses in approved finance sources and definitions.
- • Create an agent that generates variance commentary and formats deliverables.
- • Collaborate in a Close workspace with projects for each business unit.
Example prompt: “Explain variance drivers for Opex vs budget, cite approved sources, draft exec summary, and format for deck notes.”
Insurance Claims Agent
Problem: Claims teams spend time summarizing notes, checking policy rules, and preparing consistent communications.
Solution in Dapto:
- • Ground responses in policy docs and internal guidance.
- • Use agents to generate summaries, next steps, and templates.
- • Collaborate via shared project threads and handoffs.
Example prompt: “Summarize claim notes, flag missing info, draft claimant email, and keep PHI/PII masked.”
Healthcare Ops Agent
Problem: Teams need fast summaries and standardized documentation - without exposing sensitive information.
Solution in Dapto:
- • Mask/redact sensitive fields automatically.
- • Ground answers in approved internal documentation and protocols.
- • Use projects to keep cases and collaboration structured.
Example prompt: “Summarize case notes, propose next steps based on approved protocol docs, and generate a compliant handoff note.”
Built for Execution - Safe by Design
Dapto gives teams a place to do real AI work: multi-LLM chat, agents, projects, collaboration - with governance built in.
Multi-LLM Freedom
Use any model, avoid lock-in, and route the best model per task.
Repeatable Agents
Turn best practices into agents your team can reuse for consistent outputs.
Projects that Organize Work
Keep prompts, outputs, and decisions structured and searchable.
Collaboration Built In
Workspaces + shared chat for real-time teamwork and visibility.
Governance Built In
RBAC, policy enforcement, masking/redaction, and audit logs.
Adopts Fast
Use in the Console today and expand to API workflows when ready.
✅ Dapto keeps AI productive for users - and controlled for teams.