Beezi AI
Make AI development structured, secure, and cost-efficient.
1.2K followers
Make AI development structured, secure, and cost-efficient.
1.2K followers
Beezi AI is a platform for orchestration of AI-driven software development. It helps teams structure tickets for better prompts, route tasks to the right models, and track AI usage and costs in real time. With the Analytics Hub, Smart Ticket System, and Model Routing Optimizer, teams reduce rework, control AI spend, and scale development with predictable, measurable outcomes. Beezi supports secure on-prem or private cloud deployment with full control over data and models.
Curious about the privacy side of this, are prompts or code stored anywhere, or does everything stay private within the customer environment?
Beezi AI
@new_user___114202647229c1e73a3a271 Great question, Anton! We actually offer two options depending on your needs. If you're using our cloud infrastructure, all your data is encrypted and never shared with third parties or used to train any models. If you need full control, we also support on-premises deployment - in that case, everything stays entirely within your own infrastructure. Feel free to reach out at hello@beezi.ai if you'd like to dig into the details!
Open Wearables
the model routing optimizer caught my attention - we've been manually switching between Claude and GPT for different coding tasks and it's such a pain. does Beezi learn from your team's patterns to suggest the best model for each ticket type, or is it more rule-based routing?
Beezi AI
@piotr_pasierbek Great catch, Piotr! Right now, the model routing is rules-based. Beezi knows which model works best for each type of task, balancing quality, speed, and cost so you're not overspending on a heavy model when a lighter one gets the job done just as well. That said, the idea of adopting your team's patterns to suggest the best model for each ticket type is genuinely interesting, and we're definitely adding it to our thinking. Thanks for the input, this is exactly the kind of feedback that shapes where we go next!
Open Wearables
smart ticket system sounds like it could solve a real problem. half our AI prompts end up being too vague and we waste cycles on back-and-forth. curious how you're structuring the prompts - are you using specific templates for different development tasks or is it more dynamic based on the ticket content?
Beezi AI
@piotreksedzik Great question, Piotr! It's actually dynamic as the prompts are shaped by the context Beezi has when working on a task: the ticket details, your codebase, and the broader project context. So rather than rigid templates, it adapts to what's actually relevant for each task. That's a big part of why the output stays focused and avoids the vagueness you're describing!
model routing + cost tracking is the part most teams skip until they get the bill. how granular is the routing — per-ticket type, per-user, or based on something like inferred task complexity?
Beezi AI
@tijogaucher Spot on, Tijo. Most teams don't think about it until the invoice hits. The routing in Beezi is per-ticket: each task is evaluated for complexity, and the model is selected accordingly. So a simple styling fix won't burn the same tokens as a complex architectural refactor. You get the right model for the job without overpaying.
Jinna.ai
Great project! Exactly what industry needs but what I feel a lot of companies are not ready for yet. How does PM or PO integrates with this tool? To my understanding this tool tries to take a part of their responsibility, and the quality of this orchestration is yet unknown.
Beezi AI
@nikitaeverywhere Great point, Nikita. Beezi doesn't replace the PM or PO; it makes their work stronger.
Many delivery problems start long before coding begins. When a ticket is vague or missing context, AI outputs are weaker, teams spend more time fixing issues, and costs increase.
That’s why Beezi already helps PMs, POs, and BAs structure tasks clearly from the start with the Smart Ticket System, so engineering gets better inputs and can move faster.
And this is only the beginning. Expanding Beezi for non-dev roles is a big focus for us, with more exciting updates ahead.
CraftBot
Nice launch! Quick one on the Smart Ticket System, does it give live feedback while someone's writing a ticket (e.g. "this is too vague, clarify X"), or is it a structured template?
Beezi AI
@ahmad_ajmal Thanks, Ahmad! Great question. It works more as an intelligent review layer than a static template.
Once a ticket is created, Beezi analyzes it for clarity, completeness, and missing context, then gives it a quality score. If something is too vague or incomplete, Beezi automatically starts a follow-up dialogue through Slack or Microsoft Teams with the assigned person to gather the missing details.
It helps teams improve tickets dynamically and only where needed. The goal is simple: make sure tasks are clear enough before coding begins.
Beezi AI
Hey Product Hunt! 👋
I am Yuliia, as CMO of Beezi AI, I want to share what's behind today's launch, because this isn't a product we dreamed up in a vacuum.
Before writing a single line of marketing packaging and copy, we ran dozens of customer interviews. Engineering leads, CTOs, dev team managers across different industries and company sizes.
What struck me most from those conversations? People weren't asking for more AI. They were asking for control, structure, predictability.
That's the north star we've been building toward not just another wrapper that makes AI feel fancy. We want to make a platform that makes AI-driven development something you can actually manage, measure, and trust at scale.
We're genuinely proud of what the team built. And genuinely curious what you think. 🙏
What's your biggest frustration with AI in your dev workflow right now?
If you'd like a demo or want to participate in our customer interviews — we'd love to connect! 🎯