AI-powered resume parsing, semantic candidate matching, and bias-aware ranking — engineered into Zita's ATS and live in production. Built to reduce time-to-shortlist without introducing the bias that manual screening carries.
Read case studySoftware engineering and Agentic AI for regulated enterprises
Sense7ai delivers production-grade software engineering and agentic AI for regulated enterprises. We work across financial services, pharma, and healthcare — industries where compliance is a requirement, not a checkbox. From regulated platform engineering to autonomous AI in production, every system we ship is built to your compliance frame, structured for auditability, and deployed at the pace your governance programme supports.
Who we build for — regulated industries where the stakes are real
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Frequently asked
What industries does Sense7ai serve?
Sense7ai serves financial services (including Federal Home Loan Banks and other regulated lenders), regulated pharma and life sciences (FDA, EMA, MHRA, CDSCO, WHO regulatory landscape), healthcare and operations, real estate and property technology, logistics and supply chain, and agritech. Each industry has dedicated delivery patterns and compliance baselines we use from day one.
Where is Sense7ai based?
Sense7ai Inc. is a Delaware corporation. Our US headquarters is at 611 Commerce Street, Suite 2611, Nashville, TN 37203, USA (+1 615 709 7783). Our India delivery centre is in Coimbatore, Tamil Nadu, India, operating under our affiliated entity Sense7ai Data Solutions Private Limited.
What if our organisation is not ready to deploy AI yet?
You do not need to be AI-ready to work with Sense7ai. Many of our engagements begin with the regulated software and data foundations that AI will eventually run on — backend systems, compliance tooling, data pipelines, audit-trail architecture, integration layers. We call this AI-ready engineering: production-grade systems built to your current regulatory frame and structured so that AI components can be introduced when your governance programme, board, and examiners are ready. We do not set your AI adoption timeline — we engineer to it.
How quickly can Sense7ai start an engagement?
Engineering scoping calls are typically scheduled within five business days of a qualified inquiry, subject to availability. Production-scoped engagements typically mobilise within four to six weeks of contract signature, depending on access provisioning, security onboarding, and the customer's own readiness.
Does Sense7ai own the IP it builds for clients?
No. Sense7ai delivers work-for-hire to its clients. Client products — including Zita, Verixa, ArkOS, and others — remain the property of the client. Sense7ai's engagements are governed by master services agreements that assign all created IP to the client.





