Repeatable AI analysis for every record in your data.

Add your data sources and say what you want to learn. Jevreduce asks the same questions of every record and keeps the workflow ready for new data.

Join the waitlist See how it works

Coming soon. Early access opens through the waitlist.

Ask about every call

What is this customer signaling? · Pick one

about 19,545 19,545 answers

Built for repeatable analysis

A chat gives you one answer, from a sample, once. Jevreduce gives you every record, the same way, every time.

How a chat assistant with connectors compares with Jevreduce
Chat assistant with connectors	Repeatable analysis for every record
Pulls the context it judges relevant	Processes every relevant record
The prompt shifts each time someone asks	The same method applies on every pass
The answer lives in a conversation	Results become a dataset you can filter and export
Thousands of individual calls are hard to check	Each answer opens to the original record, the exact request and the model’s reply
Someone has to start each analysis	Workflows are shared and can be scheduled on fresh data

From a question to a finished dataset

Skip building a data pipeline. The Workflow Agent drafts the steps, and you can edit them before the full pass.

Connect data and describe a goal

Upload a file or connect your tickets, calls and notes, then say what you want to learn.

Test on a sample

Try the workflow on 20 rows, mark each answer right or wrong, and refine the questions before you commit.

Process every record

See the estimated cost, set a cap, and apply the workflow to the full dataset. Close calls and failed rows are flagged for review.

What are you working through?

Pick a pile of records. See the workflow Jevreduce would build for it, and what comes back.

A reading list with a reason

“Which of these articles actually help with my research?”

Explore this example

Articles and reading notes48 articles

Article · 2019Sleep timing and next-day recall in adults, a field study
Reading note · 12 MarGood on method, but the sample is only students.
Abstract · 2021Screen use before bed and sleep onset, a review of 31 studies
Article · 2016A short history of the alarm clock
Abstract · 2022Short naps and memory in shift workers

Ask questionsClassify each article
Filter recordsKeep relevant sources
Ask questionsCompare their themes

Results19 of 48 kept

Sleep timing and next-day recallKeepMeasures recall directly, in adults outside a lab.
Short naps and memoryKeepTests memory after sleep in the group you study.
Screen use before bedMaybeAbout falling asleep, not memory. Useful background.
A short history of the alarm clockDropNo data on sleep or memory.

A focused reading list with a reason for every inclusion—and the original text one click away.

Read between the lines

“What do people like, and what keeps going wrong?”

Explore this example

Reviews you may use2,400 reviews

2 of 5 stars · 12 MarBox arrived crushed and the lid was cracked. Second time this month.
5 of 5 stars · 11 MarThe battery easily lasts the whole weekend. Setup took two minutes.
1 of 5 stars · 11 MarSupport never replied about the cracked lid.
4 of 5 stars · 10 MarLove it, but the app logs me out every few days.
3 of 5 stars · 9 MarWorks well. The packaging was dented when it came.

Ask questionsAsk about praise and problems
Group recordsGroup by item
Add up answersCount recurring themes

ResultsReviews that mention each theme

Arrives damaged412“Box arrived crushed and the lid was cracked.”
Long battery life388“The battery easily lasts the whole weekend.”
App logs people out205“The app logs me out every few days.”
Slow support replies131“Support never replied about the cracked lid.”

A comparison of what people actually describe, with counts and excerpts you can check.

The story behind the game

“What do the post-match conversations tell us?”

Explore this example

Play-by-play and press transcripts1,180 records

Play-by-play · Game 144th quarter, 2:10. Turnover, bad pass. Lead cut to 3.
Press conference · Game 14We got tired late. That's on me for the rotation.
Play-by-play · Game 151st quarter, 8:42. Three-pointer, 12–4 run to open.
Press conference · Game 15We came out with energy tonight. The rest days helped.
Play-by-play · Game 163rd quarter, 5:01. Timeout after a 9–0 run against.

Ask questionsRead each record
Group recordsGroup by game or interview
Ask questionsInspect the full context

ResultsThree games, read together

Game 14, lost 98–101Fatigue“We got tired late.” Four turnovers in the last three minutes.
Game 15, won 112–96Rest“The rest days helped.” Opened on a 12–4 run.
Game 16, lost 88–94Third quarterA 9–0 run against after half-time. Both players named it.

A way to explore past games and interviews. Use code for scores and totals; use model questions to interpret text.

Listen across your community

“Which suggestions keep coming up?”

Explore this example

Survey and feedback exports1,620 responses

Survey · response 418Please let us export our data to a spreadsheet.
Forum · 3 MarDark mode would help a lot at night.
Survey · response 422A CSV export would save me an hour every week.
Feedback form · 4 MarThe new layout is confusing on my phone.
Forum · 5 MarAny plans for an export button?

Ask questionsIdentify requests
Group recordsGroup similar themes
Add up answersCount each theme

ResultsRequests, with where each came from

Export to a spreadsheet214Survey 96 · Forum 81 · Feedback form 37
Dark mode122Forum 88 · Survey 34
Phone layout is confusing75Feedback form 51 · Forum 24

A clearer picture of shared requests, without turning a few loud comments into the whole story.

Find the recurring blockers

“Which projects keep running into the same blockers?”

Explore this example

Project updates and meeting notes640 updates

Update · Atlas · week 12Waiting on legal review before we can ship.
Meeting · Harbor · 8 MarStill blocked on the staging environment.
Update · Atlas · week 13Legal review still pending. Launch moved a week.
Update · Pine · week 13Design sign-off done. On track.
Meeting · Harbor · 15 MarStaging is down again, so the tests can't run.

Ask questionsIdentify blockers
Group recordsGroup by project
Add up answersCount repeat blockers

ResultsUpdates that name each blocker

Waiting on legal review11Atlas, Pine and Delta · first seen week 9
Staging environment down9Harbor and Atlas · first seen week 10
Waiting on design sign-off4Pine · cleared in week 13

A repeatable review you can return to, with each conclusion attached to the updates behind it.

Understand customer concerns

“Which customers are expressing frustration, and why?”

Explore this example

Your customer list310 accounts

Account 0412 · ProTicket: “Export failed again. This is the third time.”
Account 0413 · TeamCall: asked about pricing for two more seats.
Account 0418 · ProNo calls or tickets on file.
Account 0421 · StarterTicket: “Can someone explain the new invoice?”
Account 0425 · TeamCall: “We're comparing you with another tool this quarter.”

Combine filesAttach available conversations
Ask questionsAsk the same questions of each
Group recordsGroup by account

ResultsSignals, each with the conversation behind it

Account 0412Repeated failuresThree tickets about failed exports.
Account 0425Comparing toolsSaid so on the 14 Mar call.
Account 0418No conversationsKept in view with nothing to read yet.
Account 0413GrowingAsked about two more seats.

A customer review that keeps accounts with missing calls visible. A risk signal is a starting point for investigation, not a prediction of the future.

Bring data from apps or files

Pick your sources. The data agent joins them into one clean table and asks before it guesses.

Your sources

Connected accounts, saved datasets or a link.

The data agent

Prepares your data so you don’t have to.

Worked for less than 1 min. Joined 4 sources on each account’s domain, the one field they all share.

Your data is ready

5 columns per account from 4 sources.

account	plan	open_tickets	last_call	survey_score
northwind.com	Pro	3	Asked about SSO before the rollout.	6
globex.io	Team	0	Happy with exports and wants more seats.	9
initech.co	Pro	5	Reports keep timing out on large files.	4
acme.dev	Starter	1	Comparing it with a shared spreadsheet.	7

Sample accounts. What each app shares depends on the app and your permissions. Browse the connection catalog

Run it from code

Start a saved workflow with one request, cap what it may spend, and get a signed webhook when it ends. Results can land in your own bucket.

Read the API docs

curl https://api.jevreduce.com/v1/workflows/workflow_7c3a0e5d/runs \
  -H "Authorization: Bearer $JEVREDUCE_API_KEY" \
  -H "Idempotency-Key: nightly-2026-09-29" \
  -H "Content-Type: application/json" \
  -d '{"max_requests": 1500, "sources": {"reviews": "latest"}}'

import os
import requests

run = requests.post(
    "https://api.jevreduce.com/v1/workflows/workflow_7c3a0e5d/runs",
    headers={
        "Authorization": f"Bearer {os.environ['JEVREDUCE_API_KEY']}",
        "Idempotency-Key": "nightly-2026-09-29",
    },
    json={"max_requests": 1500, "sources": {"reviews": "latest"}},
).json()

print(run["id"], run["status"])  # run_8d2f4a1c queued

const url = "https://api.jevreduce.com/v1/workflows/workflow_7c3a0e5d/runs";
const res = await fetch(url, {
  method: "POST",
  headers: {
    Authorization: `Bearer ${process.env.JEVREDUCE_API_KEY}`,
    "Idempotency-Key": "nightly-2026-09-29",
    "Content-Type": "application/json",
  },
  body: JSON.stringify({ max_requests: 1500, sources: { reviews: "latest" } }),
});
const run = await res.json();  // { id: "run_8d2f4a1c", status: "queued" }

202 AcceptedThe run is queued. Keep its id, or wait for the webhook.

{ "id": "run_8d2f4a1c", "status": "queued", "max_requests": 1500 }

Your data in three dimensions, not one or two

A workflow answers every record the same way, so you can break the results down and run it again. A chat assistant gives you a summary. Reading by hand gives you a sample.

“Which accounts are at risk, and why?”19,545 calls

Jevreduce3D
Product gaps put the most revenue at risk in mid-market accounts.
Records covered
19,545 of 19,545
What you get
Every call, by segment, driver and revenue
Next time
Same workflow every month
Pricing and reporting come up most.
Records covered
The calls it judged relevant
What you get
Themes from a summary
Next time
Changes with the prompt
9 of the 40 calls I read sounded at risk.
Records covered
40 of 19,545
What you get
A count from a sample
Next time
Start again next month

“Which companies are at risk?”8,200 transcripts

Jevreduce3D
Risk signals in retail jumped in Q3, a quarter before other sectors.
Records covered
8,200 of 8,200
What you get
Every call, by sector, quarter and risk
Next time
Same workflow every quarter
Rates and AI spending come up most.
Records covered
The transcripts it retrieved
What you get
Themes from a summary
Next time
Changes with the prompt
4 of the 12 calls I skimmed sounded at risk.
Records covered
12 of 8,200
What you get
Impressions from a few calls
Next time
Start again next quarter

“Which drugs work, and for whom?”100,325 reviews

Jevreduce3D
The same drug rates very differently from one condition to the next.
Records covered
100,325 of 100,325
What you get
Every review, by drug, condition and rating
Next time
Same workflow as reviews arrive
MeasuredCounting each review’s answer agreed with the review labels 89% of the time, against 85% for one question about the whole group.
Side effects and cost come up most.
Records covered
The reviews it retrieved
What you get
Themes from a summary
Next time
Changes with the prompt
Most of the 30 reviews I read were positive.
Records covered
30 of 100,325
What you get
An impression from a sample
Next time
Start again with new reviews

“Where does each politician stand?”100,000 tweets

Jevreduce3D
Each account read whole, with its lean on every topic.
Records covered
219 accounts, every tweet
What you get
Every account, by topic and lean
Next time
Same workflow every session
Measured218 of 219 accounts matched their party label.
Healthcare and taxes dominate the conversation.
Records covered
The tweets it retrieved
What you get
Themes from a summary
Next time
Changes with the prompt
Most of the 60 tweets I read sounded partisan.
Records covered
60 of 100,000
What you get
An impression from a sample
Next time
Start again next session

“How did each game turn?”100,000 events

Jevreduce3D
Who scored every point, by quarter, for every game.
Records covered
100,000 of 100,000
What you get
Every event, by game, quarter and team
Next time
Same workflow every season
MeasuredThe scoring team matched the game record 99.9% of the time.
The season’s biggest storylines, in a paragraph.
Records covered
The games it found
What you get
Storylines from a summary
Next time
Changes with the prompt
Watched the highlights of 3 games.
Records covered
3 games
What you get
Notes on a few games
Next time
Start again next season

The charts illustrate each approach; they are not measured comparisons. Results marked measured come from our internal test report on seven datasets and 714,480 rows.

Read the research

FAQ

Short answers to what people ask before they join.

Something else? support@heymilo.ai

Can I try Jevreduce yet?

Jevreduce is coming soon. Join the waitlist to hear about early access. Personal email addresses are welcome.

What can I bring?

CSV, JSON, JSONL, TXT and Markdown files, including exported notes, articles, reviews and transcripts, or records from apps you connect. Audio needs a transcript first.

Is this for me or my team?

Both. Use it for your own research, community feedback or work projects. The same workflow can help with a reading list or a collection of customer conversations.

Will every answer be right?

No. Models can misread a record or miss context. Review a sample, define your labels and compare against known answers. A new run can produce different answers.

Be first to try Jevreduce

Join the waitlist in one run: your name and email, the first question you’d ask, and we’ll write when early access opens.