Scale your back office grunt work with software not people. We train computers to do the work once, and scale it forever. If you're using or considering outsourcing business processes with a BPO, try the Velos's AI Outsourcing Automation.
Business Specialisttryvelos.comTracked since 2026-08-192 discovery sources
708Backlinks
153Referring domains
21Domain authority
-10.4%Referring domains · 90 days
Authority & distribution
How strong is Velos’s web footprint?
Backlinks measure accumulated distribution; referring domains show how broadly that authority is spread. Both are observable on the open web, so both are published for every product here.
Backlinks
708Current snapshot
Referring domains
153Current snapshot
Authority
21Domain authority · category median 22
90-day move
-10.4%Referring domains, last 90 days
At 21, Velos sits below the 22 median for its category.
Trajectory · Pro
The counts above are the latest of 370 daily observations. The curve through them is on the full profile.
Traffic makes more sense when you can connect it to the actual product promise.
“Velos”
Scale your back office grunt work with software not people. We train computers to do the work once, and scale it forever. If you're using or considering outsourcing business processes with a BPO, try the Velos's AI Outsourcing Automation.
Business SpecialistSeen 2026-08-19 → 2026-08-21Coverage tier C
What we have measured
4 of 8 signal groups are available for this product: identity, authority and backlinks, AI referrals, search demand.
Not measured for this domain: traffic and engagement, audience demographics, country distribution, acquisition mix. Those sections are left out of the page rather than filled with estimates.
Canonical website: https://tryvelos.com
Observed across 2 discovery sources.
Research questions
What the evidence answers about Velos.
Every answer is tied to a source we collected, and the questions with no evidence behind them are left unanswered rather than guessed.
What does Velos do, and what problem does it solve?
Velos is an AI automation platform that replaces manual outsourced business processes with software for insurance and finance teams. It replaces outsourced labor (BPO) with software that is faster, cheaper, and easier to scale, solving the problem of manual, error-prone, and costly back-office operations. One case study shows it reduced a manual bordereau reporting process from a week to one day with 98% accuracy.
What features or capabilities does Velos offer?
Velos learns the nuances of a client's process and turns them into auditable workflows using AI and code. It tests against real data, learns edge cases, and follows business rules to ensure accuracy. The platform is designed to handle volume spikes without increasing costs, allowing teams to handle more work without growing an outsourced team.
How is Velos priced or packaged?
The evidence indicates Velos offers a free trial. The exact pricing or packaging details beyond this are not provided in the available evidence.
Who is Velos for, and in what situations is it used?
Velos is built for insurance and finance teams, specifically those using or considering outsourcing business processes with a BPO. It is used when teams need to automate complex, manual back-office workflows to increase speed, ensure accuracy, and scale operations without adding headcount.
4 of 6 research questions are answered for this product. The rest need source evidence we have not collected yet, so they are left unanswered rather than guessed.
Behind the lock
Unlock full Velos intelligence.
Backlink trajectoryThe figures above are the latest observation. The daily curve behind them holds 370.
AI referral detailHow much traffic assistants send.
Search structure and ranking depthOrganic against paid, brand against non-brand, and how many keywords rank in the top three against the long tail — which is what decides whether the demand is portable or tied to the name.
The rest of the marketPage through every leaderboard 100 rows at a time, put any five products side by side, and query the whole dataset over API / MCP.
Worldwide estimates · Data period 2026-05-01 → 2026-07-31. Figures are measured estimates intended for market research. Signals we have not measured for this domain are omitted, never estimated; a measured zero is still reported as zero. How this was measured