Build, deploy, and orchestrate task-specific AI agents — powered by open-source LLMs running on your own GPUs. No prompt engineering PhD required, no per-token surprises, no data leakage.
One open-source LLM brain. Six layers of capabilities. Every signal stays inside your network.
Start from a battle-tested template. Customise the prompt, plug your data, deploy in minutes.
Crawls internal knowledge bases, public sources, and APIs to synthesise reports, briefs, and market analyses with citations.
Drafts, sends, and replies with brand-consistent tone. Routes by intent. Schedules follow-ups. Handles entire mailbox flows.
Personalised sequences powered by enriched contact data. Knows your ICP, your value prop, your past wins.
Creates, assigns, prioritises, and chases tasks across your team. Speaks Jira, Linear, and the Amplitica Tasks module fluently.
Generates executive-ready PDF, Markdown, or slide reports from live data. Schedule daily, weekly, or on demand.
Keeps contacts, deals, and pipeline data clean. Detects duplicates, enriches records, flags stale opportunities.
Negotiates meeting times across timezones and team availability. Books rooms, sends invites, prepares briefing notes.
Monitors logs, correlates events, flags anomalies. The new front line for your in-house cyber team.
Voice-describe an agent and Amplitica scaffolds it: prompt, tools, knowledge base, guardrails, event bindings.
Open-source weights on your hardware are the default — but if a workflow benefits from a specific managed model, plug it in too. You stay in control.
Configure agents in the same UI you use for everything else. Or, describe them with your voice and let Amplitica scaffold the configuration.
Amplitica agents don’t poll. They subscribe. When a CRM record updates, the relevant agent reacts in milliseconds — not on the next 10-second tick.
This is why a 20-agent workflow in Amplitica feels instant, while the same workflow in an MCP-based tool stack stutters.
Every agent invocation runs against an open-source LLM hosted on your own GPUs — never on a third-party API.
LLaMA 4, Mistral Large 3, Gemma 4, Qwen3 — full transparency, full control.
Run with zero internet egress. The whole agent runtime works offline.
Qdrant or pgvector deployed locally. Embeddings never leave your network.
Tell us your agent use case. We’ll prototype it on your hardware with open-source models — no contract, no cloud lock-in.