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From a data foundation to AI that acts.
Governed & Trusted Data Foundation
Quick Wins — Analytical Intelligence
Assist
Recommend
Act with approval
Acts on its own — within your rules
IP-led. Domain-deep. Tech-strong.
An IP-led stack: the Beeonix agentic platform, reusable accelerators — Reference Data Model, De-Identification, IDP, FinOps (CloudUnity), Data Engineering Co-Pilot, Data Mapping/Migration Accelerator — and pre-built solution packs. Building on this proven IP compresses time-to-value and makes delivery repeatable, not bespoke every time.
FSI-native by design: reference data models, a 250+ use-case repository, and regulatory context built into the architecture. Governed for regulated industries — lineage, explainability and human-in-the-loop are the default, not an add-on.
Engineering, AI and automation depth across the full stack, a data and cloud partner ecosystem, and on-prem, cloud or hybrid delivery. We build the data platform and the AI that runs on it.
Strategy, engineering, decision intelligence and automation — delivered as one unified program.
Domain depth, not generic AI.
We didn't retrofit a horizontal platform for regulated industries. We started in them.
“A true strategic partner that consistently delivers genuine value beyond every project.”
“BigTapp's data lake and analytics expertise helped unify our data and strengthen business insights.”
“BigTapp delivered a scalable AWS analytics solution with strong performance and competitive pricing.”
Questions enterprise buyers actually ask.
No, your data stays within your environment. BigTapp deploys on-premise, in your private cloud, or in a hybrid setup, so your data and documents remain inside your security perimeter. Sensitive data is masked or de-identified before any AI processing, and models can be hosted privately so that nothing is sent to public AI services. Every data flow is governed, logged, and auditable. You decide what the AI can access, and where it runs.
Measurable ones, across banking, insurance and retail. Banks have cut regulatory reporting time by 60% and customer-query handling by 70%. Insurers have reduced call-centre volume by 35% and produced executive insight up to 70% faster. Retailers have lifted product availability by 15%, cut inventory holding costs by 20%, and raised add-on conversion by 28%. Every engagement is scoped to a business outcome and measured against it, so the value is visible, not assumed.
A pre-built solution pack can reach production in weeks, not the months a custom build takes, because the agents, workflows and controls already exist on reusable accelerators like the Reference Data Model. Exact timelines depend on your data readiness and integration scope, which we confirm in a short scoping step. On time saved, delivered work has cut regulatory reporting by 60%, contract review by 60% and query handling by 70%, freeing teams for higher-value work.
Flexible, and scoped to each engagement. BigTapp is an IP-led services firm, so a solution combines our platform and accelerators, Beeonix, the Reference Data Model and named solution packs, with the work to put them into production. It can run on-premise, in the cloud, or as managed SaaS, and be taken as a packaged pack or a bespoke build. Commercial terms are agreed per engagement, so you pay for the scope you need rather than a fixed licence tier.
Compliance is built into the platform, not bolted on. Every agent runs on Beeonix, our agentic AI platform, with guardrails, tool gating and a full audit trail, so each action is traceable and a person approves the decisions that carry risk. Governance starts at the data layer, with lineage, role-based access, encryption, masking and de-identification, and the Reference Data Model keeping regulated data trusted. Solutions align to frameworks like GDPR, PDPA and UAE Central Bank rules, with packs such as Compliance Co-Pilot keeping monitoring and evidence continuous.