Architecture-first software consultancy
We modernize complex systems, reduce cloud costs, and put AI to work in production—helping your team ship faster and scale confidently, with senior architects leading delivery.
Start with a conversation about your engineering challenges.
How we help
Start with the challenge holding your team back. Explore a focused first step.
Architectural rot shows up as fragile dependencies and ownership gaps that slow every release. We help identify what is holding delivery back, then prioritize practical improvements your team can make incrementally.
Start with A delivery review and prioritized map of architectural bottlenecks.
Early architecture gets you shipping. Growth exposes what it cannot yet carry. We examine critical journeys, capacity assumptions, and reliability risks so you can strengthen what matters—without overbuilding what does not.
Start with A scalability assessment and prioritized validation plan.
A rising cloud bill does not tell you where the waste is. We examine workload behaviour, utilization, and architecture choices to identify cost-reduction opportunities and explain the reliability and implementation trade-offs.
Start with A cloud cost review with ranked optimization opportunities.
Repetitive work across people and systems can be a useful starting point for AI. We assess one workflow, identify where automation could help, and define the integrations, human oversight, and evaluation needed for a practical pilot.
Start with An AI workflow assessment and scoped pilot brief.
Engagements
Paratara Softlabs leads architecture and delivery programmes for directors who need modernization, live platform moves, interoperability, and production AI — without a multi-year theatre act. Our senior architects and engineering teams own the constraint, the cutover, and the handoff.
Healthcare · Retail · Fintech · Industrial IoT · Insurance · Field operations · Social care · Enterprise
We inherited a brittle CCDA/FHIR estate with low client trust. Our team led a full rewrite onto recoverable Spring Integration pipelines, Kafka-backed IDR/ETL, and Azure AI document paths into structured clinical data — with Databricks at enterprise scale for longitudinal insight and payer risk scoring.
We owned architectural redesign of order applications — from an over-engineered event surface to a simpler order-operations core. DDD, selective event sourcing, and resilience patterns were designed into the target, not bolted on after go-live.
We designed and ran a zero-downtime cloud migration for a retail-scale estate — managed messaging and search, IaC, segmented cutover with anti-corruption routing, and platform delivery so product teams kept shipping through the move.
We delivered secure export/import APIs for a China data-residency move on a personalization platform at extreme call volume — authorization, cross-region isolation, and canary-friendly deployment through the client’s portal.
We redesigned real-time and historical paths for edge telemetry across tens of thousands of turbines — eliminating Redis hotspotting, cutting cross-service chatter, and proving single-digit millisecond queries under realistic load.
We built Spring Boot microservices on GCP for OS update discovery, download tracking, battery and time-window safety, and stuck-device recovery across a worldwide Android handheld fleet.
We partnered with client architects to rewrite a scattered insurance policy lifecycle into clear OO models — Strategy, Template Method, composition over inheritance — and led an engineering team through a structural rewrite that halved codebase size while clarifying domain boundaries.
We took a near-unusable legacy Java/Ionic stack and rebuilt it into a modern Spring Boot + mobile product — multi-tenant surveys by hierarchy, offline-first sync, geo-verification, and production store releases on containerised AWS.
We replaced brittle voice/SMS callback spaghetti with Spring Integration workflows, then layered LangChain tools for multilingual assessments and agentic next steps — with human-in-the-loop gates and CI/CD stood up from near-zero for a 0→1 product entering funded scale.
We delivered senior architecture for an internal product-marketing site and device reservation flows used by global teams — including live-chat and AI-assisted support paths that stayed inside real service contracts.
Maritime booking modernization, document RPA, and finance automation programmes sit alongside these flagships — same delivery model: diagnose the constraint, ship in controlled increments, leave the client team able to own the result.
Brief us on your programmeApproach
Work directly with senior engineers to identify the constraint, make focused changes, and validate the result.
We examine the business goal and available evidence with your team, then agree the priority, deliverables, responsibilities, and measures of success.
We refactor, replace, or reconfigure the parts that justify intervention. Engineers review AI-assisted work, explain trade-offs, and check progress with you at agreed points.
We check the agreed outcomes and provide the agreed code, documentation, and operational guidance, with clear ownership so your team can maintain and evolve the result.
Based in Bengaluru, with working-hour overlap agreed for US, UK, and European teams.
Engagement Models
1–5 engineers · 4–12 weeks
5–20 engineers · 3–9 months
20+ engineers · 6–18 months
Technology
The technologies we ship with in production — and the industries where that stack has proven out.
Start Here
No sales pitch. Share what's slowing you down — legacy systems, rising costs, an AI idea that needs to ship — and we'll tell you honestly if we can help, what it would take, and what you'd save.
Send a short brief — or message us on WhatsApp. We reply with next steps, usually within one business day.