We don't just build chatbots. We engineer autonomous agents that learn, reason, and execute tasks across your enterprise.
True AI agents don't just talk. They remember, they understand, and they act.
Forget "sorry, I forgot." Our agents utilize vector databases (RAG) to instantly recall millions of documents, past conversations, and user preferences with perfect accuracy.
Text, Voice, Image. Our agents interact naturally across any medium, understanding nuance and tone perfectly.
SOC2 compliant handling. Your data never trains public models.
Native connections to Salesforce, HubSpot, Linear, and your internal APIs.
Not prototypes. Production-grade agents handling thousands of interactions daily.
An internal slack-bot that instantly answers employee questions about benefits, IT troubleshooting, and company policy by ingesting 5,000+ Notion pages and Google Docs.
A support agent that doesn't just answer "where is my order?" but actually triggers refunds, updates shipping addresses, and recommends products based on purchase history.
An SDR agent that calls leads within 2 minutes of signup, qualifies them using BANT framework, and books meetings directly to your closers' calendars.
From raw data to refined intelligence. Our 4-step vectorization pipeline ensuring zero hallucinations.
We connect to your data silos—SharePoint, Google Drive, Notion, SQL. We clean, normalize, and chunk your data for optimal vector embedding.
We don't just prompt; we engineer a psychological profile. Tone, voice, brand guidelines, and strict guardrails to prevent rogue outputs.
Giving the agent hands. We equate your APIs (Stripe, HubSpot, Jira) into function calls the agent can execute autonomously.
Deployment with safety nets. If confidence drops below 90%, the agent seamlessly hands off to a human with full context summary.
Why 2020-era chatbots are obsolete.
Absolutely. We can deploy agents on a private VPC, ensuring your data never leaves your infrastructure. We use Enterprise APIs with zero-retention policies.
For a standard knowledge base (e.g., 500 pages of docs), ingestion takes minutes. Fine-tuning the persona and testing guardrails typically takes 1-2 weeks.
If it has an API, we can connect to it. We specialize in building custom middleware to let agents perform complex actions like creating rows in DBs or sending authenticated emails.
We implement strict 'RAG-grounding'. The agent is instructed to only answer based on retrieved citations. If it doesn't know, it says so or routes to a human, rather than guessing.
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