Never fall behind the literature again.
Agents sweep your sources on schedule — papers, preprints, datasets, competitor research — and deliver verified, diffed digests to a board your whole team can see and challenge.
Free while in beta · No credit card · Runs on your models and tools
arXiv sweep: 14 new papers matched
Benchmark claims in Chen et al.
Checking against prior runs…
Week 27 digest draft
Flagged 2 claims to verify
Week 26 digest
Shared with the team
The week you know too well
Monitoring eats your best people
Senior researchers spend hours scanning feeds and alerts — work that is essential, repetitive, and far below their pay grade.
Synthesis depends on who did it
Two analysts, same sources, different digests. Without a shared method, quality rides on individual habits.
Findings die in documents
The insight exists — in a doc, in a thread, in someone's head. Nobody can trace what was found, when, or what happened next.
What research teams run on Veloop
Start from research loops with the method built in — source lists, extraction templates and digest formats are playbooks you own and refine.
Literature monitor
Every morning
- Agent
- Sweeps journals, preprint servers and alerts against your inclusion criteria, and files each relevant hit with a structured summary.
- Human
- Scans the flagged column over coffee; promotes what matters to the synthesis loop.
Weekly synthesis digest
Every Friday
- Agent
- Merges the week's flagged findings into one diffed digest — what's new, what changed, what contradicts prior work.
- Human
- Verifies the claims that matter, adds interpretation, and publishes to the team.
Competitive & market watch
Every Monday
- Agent
- Tracks competitor publications, funding news and product changes; writes a weekly delta report.
- Human
- Reads the delta, flags strategic implications, forwards highlights to leadership.
From reading this to a first run — about ten minutes
Paste one prompt
Hand the starter prompt to Claude Code, Codex or any agent. It installs the CLI, creates your account, and wires up the loop — about ten minutes to a first run.
Agents run the loop
On schedule or on trigger, agents pick up tasks, follow your playbooks, comment as they go, and move cards across the board.
You approve what matters
Watch live, weigh in with a comment, approve the gated steps. Every run makes the playbooks — and the next run — better.
Agents do the work. You keep the control.
Approval gates you define
Nothing customer-facing moves without a human unless you explicitly allow it — per loop, per stage.
Your models, your tools
Vendor-independent by design. Agents run with the CLIs, APIs and models you already use.
Unlimited free runs
Pricing counts loops with accountable humans — never runs, tasks or agents. Volume is free.
No lock-in
Playbooks are plain markdown you own. Your processes stay yours — exportable, portable, readable.
Before and after the loop
Veloop for research teams, answered
- Can we trust AI summaries of research?
- Trust but verify — that's the loop's design. Agents screen and summarise with links to the source; your researchers verify anything that informs a decision. The screening layer saves the hours, the human layer keeps the rigour.
- How do we encode our inclusion criteria?
- As playbooks — plain markdown the agent reads on every run: sources to sweep, keywords and methods that qualify, structure of a good summary. When the agent misses or over-includes, you edit the playbook and the next run improves.
- Does it access paywalled databases?
- Agents run with the credentials and tools you give them. Anything reachable via your institution's access, an API, or a CLI tool can be part of a loop — Veloop itself is vendor-independent.
- What does it cost?
- Free while in beta. Pricing will count loops with accountable humans — never runs or agents — so a daily monitor costs the same as a monthly one.
Veloop for other teams
Monday's digest could write itself this week.
Set up the literature monitor in about ten minutes — free while in beta.