HR platforms start as one product and end up as five. What begins as an applicant tracker grows payroll, onboarding, performance and analytics — and the architecture that carried the first product quietly becomes the ceiling on every product after it. We rebuild HR tech platforms so new modules ship without re-plumbing the core, and so enterprise buyers pass your security review instead of walking away from it.
Data models, permissions and navigation are shaped around the original module, so every new product line means forked code and duplicated logic.
Enterprise HR buyers need granular, per-department access. If changing a role requires a deployment, sales cycles stall on implementation.
Org-wide views fan out into hundreds of queries. Directors abandon dashboards that take a minute to load, and adoption numbers follow.
Salary, performance and identity data sit in the same permissive layer as everything else — a hard stop in procurement and a real risk under PDPL and GDPR.
A unified API gateway and shared identity layer so a new HR product is an addition, not a rewrite. Tenant isolation is enforced at the data layer, not in the UI.
Granular permission sets your admins configure themselves — role templates, department scoping and audit trails — so implementation stops being an engineering queue.
CV parsing and candidate matching, attrition and headcount forecasting, natural-language HR search and automated document handling — integrated into your existing workflows.
Request consolidation, query and index work, caching, plus encryption, JWT auth, RBAC and clean audit logging that survives an enterprise security questionnaire.
We rebuilt UFeed, an AI-powered HCM platform serving 150+ organizations, from a single-product codebase into a modular platform — with 250x faster sign-in and around 60% lower infrastructure cost.
Read the case study →Yes — most of our HR tech work is incremental. We start with an architecture and performance audit, fix the bottlenecks that hurt customers today, and refactor toward a modular core in slices you can ship continuously. A full rewrite is a last resort, not a starting position.
The ones tied to a measurable workflow: CV parsing and ranking, duplicate-candidate detection, attrition risk scoring, natural-language search across employee records, and automated document generation. We scope by expected time saved per user, not by model.
Encryption in transit and at rest, JWT-based auth, role-based access enforced server-side, no sensitive data in logs, and audit trails on every read and write of personal data — aligned with GDPR and Saudi Arabia's PDPL expectations.
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