We are building the future of digital interaction, sales automation, and customer support with autonomous, custom-trained AI agents that work 24/7.
At Agentify, we believe advanced artificial intelligence shouldn't be restricted to massive tech enterprises. Our platform empowers startups, e-commerce stores, and local businesses to deploy intelligent assistants tailored specifically to their brand and knowledge base.
By translating complex vector embeddings and large language models into a simple, no-code visual builder, we make it possible for anyone to launch an autonomous agent in under five minutes.
Your proprietary business knowledge is safe with us. We isolate storage environments and never use custom training data to train public foundation models.
Upload PDFs, input website URLs, or sync product APIs. Copy a single embed line, and your customized AI agent is immediately live.
We look past rigid keyword matching. Our AI model architectures parse complex queries, user sentiment, and conversational context for natural interactions.
We bridge autonomous automation with human touch. When queries require complex resolution, our widgets transition conversations seamlessly to your live staff.
Agentify was born from a simple realization: current chatbots were rigid, frustrating, and difficult to set up. We started engineering a context-aware LLM pipeline for customer service.
We launched our automated document parsers and visual web crawling interfaces, enabling businesses to sync entire websites and FAQs into their custom knowledge base instantly.
We expanded into transactional operations, building features for secure chatbot checkout links, item search catalogs, and multi-channel integrations like WhatsApp and Slack.
Former product lead at Stripe. Passionate about software scalability, payment flows, and democratizing enterprise-grade SaaS technology.
Former AI infrastructure researcher at OpenAI. Specialized in optimizing vector database queries and prompt-chaining orchestration.
Led NLP teams at Cohere. Loves tuning large language model parameters, optimizing latency, and setting up secure training flows.
With over a decade leading customer support at HubSpot, she aligns Agentify’s features with real-world agent and manager pain points.
