The AI agent platform for business messaging

Subscribe, create agents, ground them with your own knowledge and vector search, then deploy the same assistant to Telegram, WhatsApp, and Facebook Messenger.

Subscription-based console access
Custom RAG over your documents
Vector database per agent
Telegram, WhatsApp & Messenger
Plans that scale with message volume

Core capabilities

Agents, knowledge, and channels in one stack.

atmGPT is built for teams that need defensible AI: vector-backed answers, subscription governance, and deployment to the messengers your customers already use.

Feature 1

Custom RAG & vectors

Chunk, embed, and retrieve from your own corpus so every reply is grounded in sources you trust.

Document and FAQ ingestion
Per-agent vector indexes
Retrieval you can tune
Feature 2

Subscription & workspaces

Plans unlock agent creation, knowledge storage, and channel throughput—predictable as you grow.

Tiered agent and data limits
Team-friendly console
Upgrade when volume spikes
Feature 3

Messaging channels

Connect Telegram, WhatsApp, and Messenger so customers meet the same trained agent everywhere.

Webhook integrations
Consistent answers across apps
Built for business traffic

Business messaging

Built for real inboxes

Features designed for high-volume DMs and support queues—not toy demos—so your agent stays helpful on Telegram, WhatsApp, and Messenger.

Suggested prompts

Surface common intents—order status, pricing, booking—so customers in Telegram or WhatsApp know what they can ask your agent.

Conversation history

Review threads per channel, spot gaps in your knowledge base, and see exactly what the model retrieved before replying.

Escalate to a human

When a case needs a person, route out of the bot with context collected in the thread so your team does not start cold.

Multilingual chats

Let customers message in their preferred language while you keep a single RAG index and governance policy.

Knowledge & deployment

RAG, vectors, then go live

Ground each agent in embeddings you control, then expose it on the messaging surfaces where your customers already ask questions.

Knowledge ingestion

Upload PDFs, paste structured FAQs, or connect sources so content is chunked, embedded, and indexed in your agent’s vector store.

Improve from real chats

Use production conversations to find unanswered questions, then update documents or prompts so retrieval catches them next time.

Model choice

Pick the model tier that fits latency and depth for your use case, and adjust as traffic or compliance needs change.

Connect channels

Attach Telegram, WhatsApp, and Messenger to the same agent—no duplicate training flows or drifting answers between apps.

Testimonials

Don’t just take our word for it.

Teams use atmGPT to ship one grounded agent across Telegram, WhatsApp, and Messenger—with knowledge they control.

We replaced three channel-specific bots with one atmGPT agent. WhatsApp and Telegram finally give the same answers our Messenger team uses.
Ayesha R.Operations Lead · Juniper Commerce
Vector search over our internal docs means the bot stops inventing policy. Subscription tiers made it easy to pilot one agent before rolling out to every inbox.
Mikhail T.Head of CX · Woven Studio
We went live on Telegram first, then added WhatsApp without retraining. RAG updates propagate everywhere the agent is connected.
Sarah K.Founder · Acorn Labs

FAQ

Questions, answered.

Everything you need to know before you connect your first business bot.

Paid plans unlock the console: create AI agents, manage knowledge and vector storage, and connect messaging channels. Limits depend on tier (agents, documents, and message volume).
You add documents or structured knowledge; we chunk and embed them into a vector index per agent. At reply time the model retrieves the most relevant chunks so answers stay grounded in your content.
Yes—that is the core workflow. Configure one agent, attach its knowledge base, then connect each channel so customers get consistent answers everywhere.
Update or replace sources in the dashboard and re-index. All connected channels automatically use the refreshed embeddings for new conversations.
Knowledge you upload is scoped to your workspace and agents. Remove sources anytime; higher tiers can add stricter access and compliance options as you grow.

Built for operators

Agents, vectors, and channels in one product.

Configure prompts and guardrails, manage embeddings, and roll out to business messaging apps without rebuilding a bot per inbox.

From first document upload to live webhooks