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Stafflo

AI tools for the teams behind staffing, healthcare billing and lending.

We build them around the work your people already do, run them on machines you own or in your own cloud, and test them on your own examples before you commit to more than a pilot.

Bench Desk on a wide screen: today's date, a recruiter chooser, four figures (40 consultants with 30 on the bench, 30 vendors with 12 portals, 8 hotlists ready, 30 vendor replies), the five Try to break it controls, and the screen tabs.
Bench Desk on synthetic data — 40 consultants, 30 vendors, one morning's hotlists and replies.Open Bench Desk
See one working:

Your team keeps the judgment

Every tool on this site takes the part of a job nobody was hired to do: re-typing a rate confirmation, reading the same chart twice, re-uploading a file to a portal that timed out. Your staff make the decisions. When a tool drafts one, it shows the document and the line it came from, and it records who approved it.

Two kinds of build

Hours back from work that follows rules

Hotlists, denial letters, loan packs, bills of lading. Where the work follows rules, we automate the steps and leave the judgment calls with your team, with the source document one click away.

Tools your industry hasn't had

A field app that fills a loan application from a conversation in Telugu. A second reviewer for every coded chart. A daily view of what each benched consultant is costing you. Bring an idea like that and we'll build it with you, or tell you plainly that it won't pay back.

It runs on your machines, or in your own cloud

Most firms we build for can't send client files to someone else's AI service. So we deploy on hardware you already own, in a cloud account in your name (India-hosted if you need it), or on a machine you buy through a hardware partner. Before any of that, we measure how your machines actually perform on your work.

How private deployment works

Start with one process

Every engagement begins with one process. You can stop after any step and keep what we delivered.

  1. Audit

    Two weeks mapping how the work runs today, ranked by what automating it would save and cost, including what to leave alone.

    from ₹45,000from $3,500from £2,500from €3,000
  2. Private AI readiness check

    We measure your machines on your workload and tell you what they can run.

    from ₹75,000from $5,000from £4,000from €4,500
  3. Pilot

    One tool, built around one process, running inside your environment in four to six weeks.

    from ₹4 lakhfrom $15,000from £10,000from €12,000
  4. Enablement

    Hands-on sessions for the people who'll use it, built from your own cases.

    from ₹1 lakh a dayfrom $4,000 a dayfrom £1,500 a dayfrom €1,800 a day
  5. Run and improve

    Monthly support, with model updates tested on your examples before they ship.

    from ₹40,000 a monthfrom $2,000 a monthfrom £1,500 a monthfrom €1,800 a month

Full terms and prices

Every number here has a test run behind it

Each demo keeps its test results: the examples it ran on, the model, the date, and any examples that failed. We show the latest complete run, and the bad runs stay on the record too. Ask on the call and we'll open one.

See the evidenceSecurity and compliance

Who's behind this

Stafflo is run by Charan Manikanta Nalla under devsforfun Studio (OPC) Private Limited. Two years of multi-client engineering work across several lines of business at Aegion Dynamic, and the engines under every demo here were built and tested in this studio. Specialists join per engagement and are named on the work they do: Hemanth on mobile, Naveen on machine learning, Harsha on full-stack. You work with the person who builds your tool, from the first call to handover.

More about Charan

Bring one process and one example

In 30 minutes we'll show you the closest demo, run it on something like your example, and tell you what a pilot would take.

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