The managed AI workforce for ops-led teams. Hire a role, connect your tools, and your agents run recurring workflows on a schedule — remembering your business across every session and handing you finished work. Walli-AI Spark or your own API keys, your call per agent.
Sign inMost AI agents start from zero every session. You re-explain the same context every week, and the more you use them, the more you notice they don't remember.
We built Walli-AI differently. Walli-AI agents carry long-term memory of your business across every session — relevance-gated, so they recall the project from three weeks ago exactly when it matters and stay focused on what you're asking now. And they don't wait to be asked: they run recurring workflows on a schedule and deliver finished work before you sit down.
Past conversations are indexed and searchable. When you mention a project from three weeks ago, your agent recalls the relevant context without you re-explaining it. Memory persists across every session, scoped strictly to your tenant.
RememberPast context enters a reply only when it's actually relevant to what you're asking now — never last week's task dragged into today's answer. Your agent stays on the question in front of it, then recalls history the moment it matters.
FocusAgents don't wait to be prompted. They run recurring workflows on cron and hand you a finished deliverable — a meeting brief, a triaged inbox, an end-of-day summary — before you sit down. Real work, not just replies.
DeliverRun agents on Walli-AI's managed inference, or bring your own API keys — per agent. Connect your stack from one integrations hub. We handle compute, storage, isolation, recovery, and scaling on AWS Bedrock AgentCore — you handle your business.
Run Walli-AI Spark agents on managed Bedrock inference with no keys to juggle, or BYOK agents on your own Anthropic, OpenAI, or Google key. Keys are KMS-encrypted, injected at runtime, never stored in plaintext. Mix and match per agent.
Every agent session runs in its own hardware-isolated Bedrock AgentCore micro-VM. No shared runtime. No data co-mingling. No blast radius across tenants.
Micro-VMs start on demand and sleep when idle, so you pay for work, not idle time. Conversation state is fully preserved between sessions — your agent picks up where it left off.
Transient failures are detected, classified, and retried; when an agent truly can't proceed, a refusal protocol surfaces a clear answer instead of a silent dead end. Every run is logged and observable in the ops console.
Web chat built in. Gmail, Calendar, Drive, Slack, Discord, Telegram, n8n, GitHub, Notion, HubSpot, and Jira connect per agent from a single hub — OAuth, bot token, or API key, in a few clicks.
Every agent is isolated across compute, network, storage, database, secrets, identity, and application layers. A failure at any single layer cannot expose customer data. Each layer is independently enforced — not just policy-documented.
Hardware-isolated Bedrock AgentCore micro-VM per session
Managed micro-VM isolation, no cross-tenant path
Tenant-scoped paths, KMS-encrypted at rest
Partition key isolation — cross-tenant queries impossible
Per-agent encrypted keys, injected at session startup
JWT claims with tenant context on every request
Managed runtime. Long-term memory. Recurring delivery.
The AI workforce that remembers your business and shows up every morning.