Industries
Enterprise and technology.
Product companies and enterprises modernising platforms, moving to cloud, or adding AI to an existing product — without pausing the roadmap to do it.
At a glance
The pressures
What tends to be true at this stage.
The constraints product and platform teams bring to us, stated plainly.
The platform outgrew the decisions it was built on
A design that carried the first few years — a shared schema, a single deployable, a synchronous integration — becomes the thing limiting release speed and onboarding. The pressure is real, but wholesale rewrites rarely survive contact with a roadmap.
Your customers' security reviews are now your roadmap
Enterprise buyers send due-diligence questionnaires, ask for penetration test summaries, and want to know how tenants are isolated. Answering those honestly requires architecture that was designed to be answerable, and evidence that is generated rather than assembled.
AI was added to the product before it was designed into it
A model call bolted onto an existing feature raises questions the original architecture never answered: whose data reaches the provider, what happens when the output is wrong, how the behaviour is evaluated, and what a customer is told about it.
The dependency tree is larger than the codebase
Most of what ships is code someone else wrote. Without pinned builds, provenance and a routine for acting on advisories, supply-chain risk accumulates quietly until a disclosure forces an unplanned release.
What we build
Our services, applied to your platform.
Enterprise IT engineering as the core of the work, with applied AI scoped deliberately where it earns its place.
Incremental platform modernisation
Decomposition planned around the seams that actually constrain you, sequenced so the product keeps shipping. We architect the target state and the route to it, rather than proposing a rewrite.
Cloud platform and tenancy architecture
Environments defined as code, with tenant isolation modelled deliberately — shared, siloed or pooled per tier — and the cost and blast-radius consequences of that choice made explicit.
Release governance and supply-chain hygiene
Pipelines where review, testing, provenance and rollback are properties of the process. The artefacts a security reviewer asks for — SBOMs, scan results, change records — fall out of the pipeline instead of being assembled later.
AI features designed as product surface
Applied AI scoped to a defined job, with the data boundary stated, an evaluation harness in place before launch, and human review where an output carries consequence.
Alongside these, we work on data platforms that feed product analytics and AI features, and on security engineering for the controls your customers review. Where AI is in scope, our responsible AI position sets the boundaries we work within. The full catalogue is on the solutions page.
Governance context
Standards your organisation is held to.
These are the frameworks your buyers, auditors and regulators hold you to. We design controls against them and generate the evidence — the certifications and obligations remain your organisation's.
Multi-tenancy and data isolation
How tenant data is partitioned, how a query is scoped, and what prevents cross-tenant access are the first questions an enterprise reviewer asks. We design isolation at the data layer and make the enforcement point explicit and testable rather than conventional.
SOC 2 and ISO/IEC 27001 readiness
Both are assessed against your organisation by an independent auditor or certification body. What we provide is readiness support: control design, logging and evidence generation mapped to the Trust Services Criteria or Annex A, so the assessment finds a system that matches its documentation. YatiSphere does not hold or issue these certifications.
Customer security reviews and due diligence
Standard questionnaires such as CAIQ and SIG, plus bespoke enterprise reviews, ask about architecture, access control, encryption, subprocessors and incident handling. We help you build the architecture and the evidence set that make those answers straightforward and accurate.
Privacy and data protection obligations
GDPR, India's Digital Personal Data Protection Act 2023 and equivalent regimes drive residency, retention, subject-rights and subprocessor commitments. We design data flows and deletion paths so those commitments are enforceable in the platform, not only in the contract.
Release governance and change control
Change management is a control in its own right under most frameworks. We encode approval, segregation of duties, testing and rollback in the pipeline so the change record is generated by the process rather than reconstructed for an auditor.
Dependency and supply-chain assurance
Frameworks and customer questionnaires increasingly ask for software bill-of-materials, provenance and a documented vulnerability response. We build SBOM generation, artefact signing and advisory triage into the delivery pipeline as routine practice.