Case studies
We automate the expert work that shouldn't be manual, with AI you can actually trust.
From lab microscopy to health-fund claims, we take slow, high-stakes manual work and hand it to transparent automation, while your people keep the final call.
- Automate the busywork
- Keep it transparent
- Keep the human in the loop
An Israeli therapeutic riding farm
The weekly scheduling tetris, solved before anyone opens a spreadsheet.
A bespoke system builds the therapy schedule itself — assigning every patient to a horse and a therapist while balancing each horse's daily load — so staff stop losing hours to manual scheduling and everyone can see and manage their own week.
Read the storyA biotech growing engineered muscle tissue
Count every fiber. Skip the day at the microscope.
Computer vision measures muscle fibers from microscopy in minutes, and the number matches the human expert.
Read the storyA national Israeli healthcare NGO
Thousands of claims. Every HMO. Filed in hours, not days.
An RPA platform files health-fund claims to every major HMO and cross-checks each one across three systems, so nothing is filed twice and nothing goes missing.
Read the storyA biotech growing engineered muscle tissue
Minutes an image became seconds. Ten at a time.
We rebuilt two manual stages — separating the mCherry channel and measuring the fibers — into one system: seconds an image instead of minutes, ten in parallel, every parameter under the scientist's control.
Read the storyA rising tech startup
One recording a week. A voice the category can't ignore.
A founder records once a week. We turn it into a week of posts in the brand's voice and the founder's own, so the company shows up everywhere its market is looking, without a content team.
Read the storyA B2B brand with deep expertise and a thin website
When your buyers ask AI, your brand is the answer.
Your experts know more than your competitors. But when a buyer asks Google or ChatGPT, someone else gets cited. We turn your expertise into a structured knowledge base built for how people — and answer engines — actually search.
Read the storyFAQ
Questions about our work
What kind of work does Aniccai automate?
Expert manual work that shouldn't be manual: health-fund claims processing, lab microscopy analysis, weekly therapy scheduling, and knowledge systems that make a brand the source AI cites. High-stakes work where speed matters, but trust matters more.
Does the automation replace my team?
No. Every system we build keeps the human in the loop: the automation does the busywork and your people keep the final call. That's a design principle, not an afterthought.
How do I know the automation is doing the right thing?
Transparency is built in. The systems show their work — what was read, what was decided, and why — so your team can see, verify, and override any step instead of trusting a black box.
How does a project with Aniccai start?
With a scoping call. You leave it with the one business number the project needs to move, and an ROI model that shows whether it's worth building. If the projected ROI isn't positive, we tell you not to build it.