Alkemi
Your AI data teammate in Slack
100 followers
Your AI data teammate in Slack
100 followers
What could your business could do if everyone had a data scientist in their pocket 24/7? Meet your AI data teammate, now in Slack. Slack is where decisions happen, but data still lives somewhere else. Alkemi brings powerful analytics into Slack through conversational AI, so teams can ask questions, explore insights, and generate reports or charts instantly using their own trusted business data. Ask: ~ What drove pipeline last week? ~ Which products are trending? ~ Where are deals stalling?
Alkemi
Hey Product Hunt 👋
I’m Connor, founder of Alkemi.
We started Alkemi to remove the gap between data and decisions.
We built the Alkemi Slack Agent around a simple observation:
Decisions happen in Slack.
Data does not.
Every company claims to be data-driven. The data exists, but little of it informs their actual day-to-day decisions because extracting answers is too slow and expensive. Essentially, the juice isn't worth the squeeze in most cases. BI teams, dashboards, and monolithic tools only add layers of complexity.
So people make suboptimal decisions.
The Alkemi Slack Agent turns Slack into your team’s on-demand data analyst.
Ask questions in plain English.
Get charts, summaries, and answers instantly, powered by Snowflake, HubSpot, BigQuery, Databricks, and more.
No dashboards.
No backlog.
No more asking for a quick favor.
Just:
“How should I reallocate marketing spend?”
“What drove pipeline last week?”
“What products have untapped revenue potential?"
And you get a real answer, grounded in your data.
Under the hood, we convert data sources into structured, agent-usable functions. That’s why the responses are reliable, not just convenient.
Our belief is simple:
If everyone had a data scientist in their pocket, with zero waiting and zero political cost, decision quality across the company would materially improve.
This launch is about one thing:
Collapsing that space, and bringing data directly to the moment of decision.
We want blunt feedback.
Let us know what would make this essential for you.
We’re shipping fast.
Thanks for taking a look.
Congratulations on the launch! Can I set up periodic report generation? For example, for your service to connect to the CRM and every week, before a call with the sales department, send me a report with certain data/fields (or better, in a specific template)? Right now I do this manually, each department uses its own services, and I either have to log in myself or ask employees to prepare these reports. This is an area where routine tasks could be well automated.
Alkemi
@mykyta_semenov_ great question! This is exactly the kind of workflow we’re building toward.
Today, you can use Slack Workflows to send scheduled queries to the Alkemi agent. You can also configure reports directly in your prompt (specific fields, metrics, formatting, etc.), and the agent will generate them.
Right now we offer several structured templates, and we’re actively building native scheduling + customizable recurring reports inside the DataLab UI, so you can define the template once and automate delivery (weekly sales summaries, CRM snapshots, etc.).
Automating routine reporting is a core use case for us.
I live in Slack, but I still spend so much time navigating external systems to get the answers I need. That kind of ambling around BI tools, native ad tools, spreadsheets, etc... is such a time suck.
Early Alkemi fangirl here - love how you're stitching proprietary data together in the answer-engine format that is becoming my everyday search format.
Alkemi
@hilarysmith thank you!
Alkemi
@shreya_srivastava17 Great question, and an important one. Alkemi does NOT store Slack chats.
It processes questions in real time, securely queries the approved data sources in your environment, and returns the answer in Slack.
No training on your data
Private environment: data stays in your infrastructure
Permission-aware: mirrors existing access controls
Traceable answers: linked to source data and logic
Your data never leaves your environment, and no LLM learns from it.
More info here: https://www.alkemi.ai/blog/faq