AI advisors & assistants
Customer-facing agents that consult, recommend, and guide — trained on your domain knowledge. Not generic chatbots that parrot GPT.
Always available
AI agents that reason, decide, and act — built for production, not demos. 5 projects shipped. Our own framework. Real outcomes.
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Not sure if your idea is an "agent"? Here's what we've built before — and what we can build for you:
Customer-facing agents that consult, recommend, and guide — trained on your domain knowledge. Not generic chatbots that parrot GPT.
Connect AI to your Notion, Slack, Google Drive. Let employees ask questions in plain language and get sourced, confidence-scored answers.
Relationship health, sentiment, rankings, lead scoring — agents that read between the lines of your data and surface insights humans miss.
Agents that crawl, scan, score, and improve. Continuous loops, not one-time reports.
WhatsApp, Telegram, Slack, web chat, mobile apps — agents that live where your users already are.
Expertised
Tech stacks
Our Insights
Not chatbots. Agents that think, decide, and act.
Our Insights
Every person at Cyberk works with AI every day. Our engineers write code with AI. Our knowledge base is searchable by AI. Our internal processes are monitored by AI agents we built ourselves. We're not an agency that added "AI" to the services page — we rebuilt our entire workflow around it.
When you work with us, you're working with people who already know where AI saves time, where it hallucinates, where it needs guardrails, and where it genuinely changes everything. That's not something you learn from tutorials — it's something you learn from living with it.
AI advisors for skincare and AI advisors for real estate share the same underlying architecture: context ingestion, domain reasoning, confidence scoring, safety guardrails. The domain changes. The engineering patterns don't.
That means we can apply what we've learned to your industry — whether it's finance, education, logistics, legal, or something we haven't seen yet. The faster we understand your domain, the faster your agent ships.
One client wanted <2% hallucination. Industry best is 5–10%. We pushed back, proposed realistic targets, and built a confidence scoring system instead. We'd rather lose a deal than set you up for failure.
Most vendors deploy and walk away. We monitor agents in production — trace, telemetry, continuous tuning. AI systems drift. Models update. Data changes. If nobody's watching, quality degrades silently. We watch.
Our Insights
Stories, insights, and lessons from building digital products.
An AI agent can turn Polymarket inefficiencies into repeatable profit.
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