The brand is the product.
Every marketing team has a voice they want to protect. The tooling never reflected that. We built the Brand Brain so the system actually knows what your brand sounds like — not just what it ships.
From the founder
“I spent years watching small and mid-size brands lose to bigger ones not on product, but on consistency — because consistency is expensive when you do it by hand. Amelytic is the system I wanted to hand my own clients.”
Amelytic is being built by a single-founder team going live in 2026. The focus is small and mid-size brands tired of bouncing between a scheduler, a design tool, a copy LLM, and three approval threads. One agent, one Brand Brain, one approval gate — then it ships.
What we believe
Four principles that shape every decision we make.
Approval is the only human gate.
Once a draft is approved, the system publishes it. No second click, no “remember to schedule.” Your team’s time goes to deciding, not babysitting.
The agent never spends money.
Paid promotions are manual-only — forever. An agent that can spend ad budget without explicit consent is a liability, not a tool.
One platform beats six tabs.
Posts, images, calendar, inbox, contacts, email, analytics. If it touches your audience, it lives in Amelytic. Tab-switching is dead time.
What we’re building
A real product. Live now.
Agent runtime
LangGraph orchestrator wired through plan → draft → score → schedule. Every published post traces to an agent_run_id.
Brand Brain
Per-customer voice model derived from your site, your past posts, and a 200-word brief. Voice scored on five axes.
Approvals engine
Single, all-of, ordered, or auto-approve — configured per channel and per content type.
Multi-channel
LinkedIn, Meta, X, Blogger live. TikTok, YouTube, podcast clips on the build list.
Governance
Eight-role RBAC, Postgres row-level security, audit log on every approval and admin action.
Amelytic Agent
A routed mixture of frontier language and image models, picked per-task for accuracy, latency, and cost. We never lock you into a single model and we never hand-tune one to your private data.