How It Works

AI That Acts, Not Just Talks

Zylch isn't a chatbot. It's a complete AI system built from the ground up for business communication.

While others wrap generic LLMs with thin prompts, we've built proprietary technology that combines the intelligence of modern AI with the reliability your business requires.

LLMs can talk. Zylch can work.

Architecture

Neurosymbolic Design

Zylch uses a neurosymbolic architecture—combining neural networks (LLMs) for understanding with symbolic systems (rules, logic) for reliable execution.

You: "Remind Sofia about the demo"
LLM Layer: Understands intent, resolves "Sofia"
Memory Layer: Retrieves Sofia's Avatar, preferences
Symbolic Layer: Creates rule: IF tomorrow THEN remind
Execution: Guaranteed delivery (email, WhatsApp, call)

LLM for Understanding

Natural language comprehension, intent extraction, context awareness. The AI understands what you want.

Rules for Reliability

Deterministic execution, conditional logic, state tracking. The system does what it promised.

Memory for Context

Persistent knowledge about your contacts, preferences, and history. No re-explaining.

Execution for Action

Real integrations with email, calendar, phone. Not just suggestions—actual results.

Why LLMs Alone Don't Work

Large Language Models are remarkable at understanding and generating text. But for business work, they have fundamental limitations:

No Memory

LLMs forget everything between sessions. They can't remember "I told you this yesterday."

No State

They can't track "wait for response, then do X." Every request starts fresh.

No Reliability

Same prompt, different results. You can't build business processes on probabilistic outputs.

No Action

They generate text, not results. "Send an email" produces words about emails, not sent emails.

Zylch solves each of these: Our memory system persists knowledge. Our symbolic layer tracks state. Our rule engine guarantees execution. Our integrations take real action.

Proprietary

Avatar Intelligence

At the heart of Zylch is our Avatar system—pre-computed intelligence about every person you interact with.

Unlike systems that re-analyze contacts on every query (slow, expensive), Avatars are continuously updated in the background. When you ask "What's happening with Marco?", the answer is instant.

<50ms
Query response
100 contacts
0
LLM calls
at query time
Memory
persistence

Multi-Identifier

One person = multiple emails, phones, names. Avatars understand identity across all channels.

Relationship Context

Preferred channel, tone, response patterns, pending items, relationship strength—all pre-computed.

Continuous Updates

New email arrives? Avatar updates automatically. Always fresh, never stale.

Action Detection

Avatars know who needs attention, who's waiting for response, who's going silent.

Not a Wrapper

Many "AI products" are thin layers over ChatGPT or Claude. Zylch is different.

2021

Hahn Banach founded. Initial research into semantic memory systems for business applications.

2022

First production deployment of vector-based contact memory. Pre-dates ChatGPT release.

2023

Multi-agent architecture developed. Neurosymbolic execution framework.

2024

Avatar system architecture. Background computation pipeline. Legacy system integration.

2025

Zylch platform launch. Phone integration via MrCall. Production deployment.

Years of R&D, not weeks. Our technology stack is proprietary, purpose-built for communication intelligence.

Your Data, Your Control

We take privacy seriously because we handle your most sensitive data: your communication.

Complete Isolation

Your data is never mixed with other users. Row-level security enforced at the database layer.

No Training

Your emails, contacts, and conversations are never used to train AI models. Ever.

Encryption

All data encrypted at rest and in transit. Sensitive tokens encrypted with additional application-level encryption.

Human in the Loop

Critical actions (sending emails, making calls) require your explicit approval.

AI That Works

Experience the difference between AI that talks and AI that acts.

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