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Alembic
Make manual data entry and labelling a thing of the past.
Send us the paperwork — contracts, invoices, claims, scanned images. Alembic's AI extracts every field, decides what's clear, and brings you what needs a human call. No templates. No training.
I got sick of watching companies pour money and resources into structuring data from unstructured sources. Real-estate agents reviewing documents manually for hours a day, contractors delayed due to paperwork delays, or SaaS contracts not properly informing SAM teams.
Alembic is the solution: highly accurate, verified extractions (best in the market); along with true AI smarts.
Alembic doesn't just read and structure your data, it can reason over it, decide outcomes, and act as your trusted data entry team.
Start for free on alembictransform.com
Alembic exists to make manual data entry and messy document processing a thing of the past. We built Alembic to turn files, documents, scans, and other unstructured inputs into reliable, structured, auditable data, without forcing teams to constantly babysit an AI system.
Use it through MCP, Slack, API, or the Alembic app. Pricing is transparent and consumption-based: pay for what you use, and no more.
The problem we kept seeing was surprisingly simple.
Businesses receive information in every format imaginable. PDFs. Spreadsheets. Scans. Images. Emails. Documents created by customers, vendors, partners, and systems that were never designed to work together.
Somebody eventually has to make sense of it all.
Traditional automation struggles when formats change. AI makes this easier, but introduces a different problem: when something is unclear, models can make assumptions, quietly get things wrong, or simply fail.
Alembic is designed differently.
When Alembic encounters uncertainty, it tries to resolve the problem itself first. If human input is genuinely required, it raises a targeted question instead of quietly guessing.
Our Stand Up feature collects those questions into a simple daily workflow, so users can resolve exceptions quickly and get on with their day.
For higher-volume workflows, that same system can operate continuously, allowing teams to resolve document validation and extraction issues in real time.
As we built Alembic, something else became increasingly obvious:
Extraction is only half the problem. Once you've turned thousands of messy documents into structured information, you should actually be able to do something useful with it.
Alembic's reasoning layer, DISTLR, can work across large and complex datasets, manipulate and analyze data inside a sandbox, trace answers back to their sources, and help users understand what all of that information actually means.
That could mean:
Turning hundreds of scanned invoices from different suppliers into one consistent dataset.
Processing travel documents for hundreds of people and automatically grouping flights, hotels, dates, travelers, and missing information into individual profiles.
Collecting documents from customers through a simple link, tracking what's still missing, and updating records automatically when new information arrives.
Or taking years of files and asking questions across them without manually opening document after document.
The goal isn't simply "AI that reads PDFs."
It's a system that can reliably turn messy information into something structured, usable, and trustworthy.
I'm James, the founder and builder of Alembic. After more than a decade working across Customer Success, SaaS, and Data Analytics, I kept running into versions of this same problem: customers needed information in one format, but the real world stubbornly insisted on sending it in twenty others.
Eventually I decided to build the thing I wished we'd had. We're now looking for our first group of customers.
The first 15 companies joining our early adopter program will get their first 4 months free. In return, we'd love your feedback, your ugly edge cases, your bizarre documents, and your help deciding where we focus next.
Alembic is also completely self-serve, with a free tier if you'd rather poke around on your own first.
If you've got a workflow involving messy documents, repetitive data entry, document validation, or information that refuses to arrive in a nice clean schema, I'd love to hear about it.
We're early, we're shipping quickly, and this is the point where customer input can genuinely shape what Alembic becomes.
About Alembic on Product Hunt
“Make manual data entry and labelling a thing of the past.”
Alembic was submitted on Product Hunt and earned 4 upvotes and 4 comments, placing #37 on the daily leaderboard. Send us the paperwork — contracts, invoices, claims, scanned images. Alembic's AI extracts every field, decides what's clear, and brings you what needs a human call. No templates. No training.
Alembic was featured in SaaS (43.6k followers), Artificial Intelligence (476.1k followers) and Data & Analytics (5.8k followers) on Product Hunt. Together, these topics include over 170.6k products, making this a competitive space to launch in.
Who hunted Alembic?
Alembic was hunted by James McArthur. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
Want to see how Alembic stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.