Whatsapp Agents
WhatsApp agents that handle sales, support, and scheduling with a 98% open rate—bypassing the noise of the inbox.
AI Agent Engineering
Your Autonomous Workforce, Engineered for Scale
Stop managing headcount for repetitive tasks. We build and deploy AI agents that resolve inquiries, schedule meetings, and automate workflows with human-level precision around the clock.
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Sophia
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Hello! I’m Sophia, describe the problem you’re having and I’ll walk you through the solution one step at a time.
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Automate Your Customer &
Operations Layer
We build custom AI agents for voice, chat, and email that integrate with your data to resolve issues, book meetings, and close leads autonomously—24/7.
Self-Hosted Voice Infrastructure
Call center automation built on self-hosted Asterisk and SIP, handling thousands of concurrent calls without your data ever leaving your servers.
Poki, can you remind me to take a break in 2 hours? I’ve been feeling a little overwhelmed.
Of course, Ali! I’ll remind you to take a break in 2 hours. Remember, it’s okay to step away and recharge — your well-being comes first!
Todo List
Poki has updated your todo list!
Tell Poki anything...
Chat Agents
RAG assistants that answer from your docs and help center in under 2 seconds — on your site, Intercom, or Slack.
Voice Agents
Sub-500ms voice agents on Twilio that handle inbound support, outbound calls, and calendar scheduling end-to-end.
Email Agents
Inbox agents that triage, draft, and resolve tickets inside Gmail, Outlook, or Zendesk before they reach your team.
A repeatable system for certain results
We move you from strategy to production while ensuring every AI agent is reliable, secure, and built to work perfectly within your current business operations.
01
Workflow Audit
We map every step of your current customer workflow to find where manual friction is costing you time, money, and accuracy.
02
Knowledge Sync
We feed the agent your private data, files, and business logic so it operates with the context of a senior team member.
03
Action Layer
We connect the agent to Gmail, Salesforce, Trello, and your stack so it executes work end-to-end — not just answers questions.
Airtable
04
Live Ops
We deploy with monitoring, fallback paths, and human-in-the-loop oversight, so the agent stays reliable as volume scales.
Hey, remind me to review the design files for the healthcore platform tomorrow at 4:15 PM please ...
Bart
Listening...
Scale without scaling headcount
Five business outcomes you stop solving with hires — and start solving with systems that get faster and cheaper every month.
01
Instant Global Scale
Expand into global markets without the 6-month lead time of hiring and training localized support teams.
6 months → 0
Time to launch in a new market
02
0 Knowledge Loss
100% retention of institutional knowledge and zero "re-training" costs when turnover occurs.
100%
Institutional knowledge retained
03
Scalable Margins
Cost-per-resolution drops every month as the AI identifies and automates recurring friction points on autopilot.
↓ every month
Cost per resolution
04
Revenue Safeguard
High-value leads and critical system errors are handed to humans in milliseconds, preventing revenue leakage.
<1ms
Handoff to human on critical issues
05
Reliability at Scale
Whether handling 10 users or 10,000 at 3 AM on a holiday, your response times and quality remain identical.
24/7
Identical response time and quality
Questions teams ask before going live
Answers to the questions teams ask before they put an AI agent in front of real customers.
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We default to the most restrictive data setup that still gets the job done. For most clients, that means data is processed in transit only, never used for model training, and retained only as long as your policy requires. For regulated industries or sensitive workloads, we deploy fully self-hosted — your data never leaves your infrastructure. We sign DPAs and align with your existing security and compliance posture before kickoff.
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Every agent we build has confidence thresholds, fallback paths, and human handoff baked in from day one. If the agent is uncertain, the conversation routes to a human in milliseconds. We monitor every interaction post-launch — flagged calls, low-confidence responses, and edge cases get reviewed weekly so the agent improves continuously instead of failing silently.
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Most agents go live in 4–8 weeks, depending on integration complexity and the scope of the workflow. Voice agents on greenfield setups can ship faster; agents that need to integrate with legacy systems or pass compliance review take longer. We give you a fixed timeline at the end of the discovery phase, not a moving target.
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Yes. We've built integrations across Salesforce, HubSpot, Zendesk, Intercom, Twilio, Gmail, Outlook, Slack, and most major CRMs and helpdesks. If your stack has an API, we connect to it. If it doesn't, we build the connector. Integration scope is locked in during discovery so there are no surprises mid-build.
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Yes — this is one of the things we specialize in. We deploy on your AWS, GCP, Azure, or on-prem infrastructure using open-source LLMs, self-hosted voice stacks (Asterisk, SIP), and private RAG systems. Your data never touches a third-party AI provider. This is the right setup for healthcare, finance, defense, and any business that can't send customer data to OpenAI.
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Engagements typically include a fixed-scope build fee plus a monthly retainer for ongoing optimization, monitoring, and improvements. Pricing depends on agent complexity, integration scope, and whether you're self-hosted. We share concrete numbers on the discovery call once we understand the scope — no hidden infrastructure costs, no surprise overages.
Ready to put an AI agent on your front line?
One conversation to map the workflow, scope the integration, and see whether autonomy is the right answer for your team.