Just a chatbot
- Answers one question at a time
- Makes things up when it doesn't know
- Can't reach your data, tools or the web
- Forgets everything once the chat ends
- Stops at the reply, you do the rest
Athena · Enterprise AI
Agent
Give your team an AI agent that
does the work.
Athena is an on-premise enterprise AI agent that reads your documents, browses live sources, calls your tools, and works through complex, multi-step tasks on its own. One agent orchestrating every capability, not just another chatbot.
Athena Agent Planning → Executing
Knowledge Base
Web Browsing
Tool Calling
Actions
Memory
Reasoning
Grounded in your own data / Every answer cited / Runs on your infrastructure / Multilingual, incl. Bahasa Indonesia
THE AGENT DIFFERENCE
More than a chatbot
A chatbot answers a question. An AI agent gets the job done: it understands what you need, gathers the facts from your own data, reasons through the steps, takes action, and remembers, getting sharper the more you use it.
Athena · AI agent
- Breaks a goal into steps and works through them
- Pulls facts from your data, and browses the web when needed
- Calls your tools and runs code to get the work done
- Remembers context and builds memory that grows as you use it
- Takes action and hands back a finished result, with sources
- 01Understand
Reads the request and what you actually need
- 02Retrieve
Finds the facts in your own data
- 03Reason
Plans and works through the steps
- 04Act & cite
Delivers the outcome, with sources
- 05Remember
Builds memory that grows, every task sharpens the next
Meet your agents
One conversation, every deliverable
Athena isn't a chatbot with a nicer wrapper. Point it at your own data and it explores, analyzes and charts, then hands back the artifacts your team actually works in. Every screen below comes from a single real session against one connected database.
athena · chat 10 tables read · thought 672ms 01 Data Chat Ask in plain language
Ask your database a question. Get an answer.
The request
Can you tell me any insight based on Database Penjualan including visualization of the data in English?
Athena went into the connected database on its own, read all 10 core tables covering January 2023 to December 2025, and came back with the numbers that matter.
- 6,000 orders · 800 customers · Rp159.6B revenue
- Answers in the language you asked in
athena · insights Jan 2023 → Dec 2025 02 Visualization Charts with a reading
Every chart arrives with the sentence underneath it.
The insight it wrote
Growth from Rp4.4 Million (Jan 2023) to Rp9.0 Billion (Dec 2025) represents a ~200,000% increase over 3 years.
Trend lines, category rankings and regional splits, plotted from live data and then explained: what moved, when it accelerated, and what dominates.
- Monthly revenue trend · revenue by category
- A written interpretation, not just a picture
athena · files Sales_Database_Report.xlsx · 35.9 KB 03 Spreadsheets Files you can open
It writes the code, runs it, ships the file.
The request
Can you make the excel file report for this?
Twenty-three steps later, through fetch_file, execute_code and deliver_file, a real workbook landed in the thread: nine sheets of formatted tables, embedded charts and color-coded highlights.
- 9 sheets · summary, trend, category, regional, products
- A downloadable .xlsx, not a table in a chat window
athena · design 7 slides · thought 1m 50s 04 Presentations Decks on demand
The same analysis, as a deck you can present.
The request
Create presentation based on Database Penjualan insight. Maximum 7 slides only.
Athena loaded its frontend-slides skill, queried the database again for the real figures, and wrote a seven-slide deck that's designed rather than templated, and editable beside the Copilot.
- Skills load on demand · frontend-slides
- Live HTML deck · edit inline or export to PDF
athena · videos 8 clips · 56s · Seedance 2.0 05 Video Script to final cut
A brief in. A finished cut out.
The project
Indonesia Agriculture · 8 clips, 56 seconds, generated end to end.
Athena writes the script, breaks it into shots, generates every clip and lays them on a timeline you can re-cut. Change one shot's prompt and only that shot regenerates.
- Board · Editor · Inspect, with per-clip prompts
- Cuts, music and export without leaving Athena
Connectors
It only knows what you connect it to
Every screen above ran against one connected database. Athena starts with nothing of its own: attach a database, a drive, a repository or any MCP server, and each connector arrives with its own tools and its own permissions.
- LenzDB connected
- Database Penjualan connected
- Database available
- MCP Servers available
- Google Drive available
- OneDrive available
- GitLab available
Nothing leaves your environment. Athena runs on your own infrastructure, against the sources you allow.
Beyond chat
Anatomy of an agent
A chatbot answers. An agent works: it plans, picks the specialist for the job, calls your systems, loads the skill it needs, runs its own code in a sandbox and delivers the file at the end. Every step is visible, timed, and re-runnable.
Multi-agent
One orchestrator, many agents
Athena isn't a single brain. The orchestrator picks the agent that fits the job, hands over only the context it needs, and can run several at once: a generalist for open-ended work, named agents for the jobs you repeat.
Orchestrator
3
G Generalist B Financial Agent P Presentation Agent +New agent
Plan · act · verify
It plans first, then shows its working
Every run opens as a checklist. You watch each step land with its own timing, stop it mid-flight, or open any step to see exactly what it called and what came back.
Plan 6/6 23 steps · 15.9s
- Fetch file
- execute_code
- deliver_file
- Writing the summary…
context 31.3k / 980.0k
Tool calling
Calls your databases, APIs and internal systems directly, then acts on what comes back.
call database · 13ms MCP servers
Speaks MCP, so any server your team already runs becomes a tool it can pick up.
attach mcp · 7 tools Code sandbox
Writes and runs its own code in isolation to crunch data and check its own work.
run execute_code · 6.0s Web browsing
Reads live pages when the answer isn't in your data, and cites what it used.
browse 3 sources · cited File delivery
Hands back real artifacts: spreadsheets, decks, documents, finished video.
deliver .xlsx · 35.9 KB Memory that grows
Keeps the context of your business so the next task starts further ahead than the last.
recall +142 facts learned Schedules & triggers
Put a task on a schedule and it runs on its own, with no one opening the app.
cron daily · 07:00 Projects & tasks
Long jobs live as projects with their own task list, files and running history.
task 6/6 plan complete Guardrails & permissions
Every connector carries its own scope, so an agent only reaches what you allow.
policy scoped per connector Full audit trail
A timed, expandable record of every step, so any answer can be traced back.
trace 23 steps · 15.9s Build your own
An agent for almost anything
Under one orchestrator you can run as many agents as you have jobs, whether broad and generalist or narrow and named. Describe the task in plain language and Athena assembles an agent for it, with the same tools, skills, sandbox, memory and guardrails.
HR OnboardingIT HelpdeskProcurementContract ReviewPolicy Q&AVendor RiskFraud ReviewTicket TriageMeeting NotesTranslationMarket ResearchCustomer SupportClaims Processing + Your custom agent
Book a walkthrough → The platform
One platform under every agent
Every Athena agent runs on the same stack: connect any source, then retrieve, reason and act with any model, grounded, secured, and deployed on-premise inside your own environment.
Government
Banking
Insurance
ANY Industry
Healthcare
Telecom
Energy
Knowledge
Support
Compliance
Autonomous Agents
Analytics
Automation
Reporting
Retrieve
ANY DataReason
ANY ModelAct
ANY WorkflowGrounded & Secure
ANY Source, cited, private, audited ANY Source
Documents
Databases
SharePoint
Wikis
Email
APIs
ANY System
Athena · AI Agent Platform
ENTERPRISE-GRADE
Built for regulated, sovereign deployment
Athena is designed for governments and large enterprises that can't send their data to someone else's cloud. It runs in your environment, under your controls.
Runs on your infrastructure
Deploy on-premise, in your private cloud, or fully air-gapped. Your documents and data never leave your environment.
Your rules, your models, your language
Tune Athena to your domain, policies, and language. It works across multiple languages, including Bahasa Indonesia, and routes each task to the right model, including sovereign, in-country options.
Your institutional memory, and it stays yours
The more your teams use Athena, the more it learns your organization. That growing memory lives inside your environment, governed by the same access controls and audit trail, never pooled with anyone else's.
On-prem
Runs in your environment
Cited
Every answer traceable to source
Audited
Full question & answer log
Sovereign
In-country model options
Put an AI agent to work on your hardest knowledge work.
Tell us your use case and we'll show you Athena running on your own data.