Banking, India
Document AI in production at a large Indian bank
Implemented Document AI to automate document-heavy workflows — reducing manual processing effort and turnaround time while improving accuracy and auditability.
Clarytis is an AI and data-analytics consultancy. We take enterprises from strategy to production — Cloud, AI and Analytics, engineered for measurable outcomes.
Animation: Raw business data pours into a network of light and snaps into one clear chart and answer, across six industry examples. Examples shown:
Technologies we build on
Connect AI to the knowledge, documents and workflows your teams already use. Start with a focused task, build in human review, and expand as the system proves useful.
Get in touchAssistants that find information, coordinate tasks and act through your business systems with clear permissions.
Answers grounded in your own documents, with source references and access controls.
Extract, classify and validate information from invoices, forms and business documents.
Bring fragmented data into a reliable foundation. Give teams shared definitions, clear reporting and forecasts they can use to plan their next move.
Get in touchPipelines and modern data platforms that bring business data together with quality checks built in.
Shared metrics and focused dashboards that answer the questions your teams ask every day.
Forecasting, segmentation and analytical models that support planning and operational decisions.
Follow each request from input to response. Bring quality, reliability and cost into one operating discipline, so your team can spot issues and improve with evidence.
Get in touchTrace agent runs and model responses, evaluate quality, and track latency and token costs.
Repeatable deployment, versioning and monitoring for models throughout their production lifecycle.
Checks for freshness, quality and drift across the data that feeds your models and applications.
Modernise the infrastructure behind your business. Connect cloud architecture, application delivery and day-to-day operations with security and cost considered from the start.
Get in touchPlan and build secure cloud environments, then move workloads with a clear migration path.
Update applications and delivery pipelines so teams can release and maintain them more easily.
Monitoring, incident workflows and infrastructure automation for the systems your business relies on.
Turn ambition into a practical roadmap. Assess readiness, prioritise use cases and define the ownership and controls needed to move from a promising idea to an operating system.
Get in touchAssess your data, technology and teams, then prioritise initiatives against business goals.
Define review processes, accountability and safeguards for how AI is developed and used.
Build a delivery roadmap with clear milestones, decision points and measures of progress.
One accountable loop — consult, implement, manage, improve — so value doesn't stall at the slide deck.
Expert architects work alongside your team to initiate, design and plan a successful transformation.
The right mix of boldness, caution and innovation — from pilots and PoCs to production-grade platforms.
Infrastructure management, simplified: monitor what matters, reduce incidents, automate repeatable workflows.
Stay ahead with continuous optimization of architecture, cost and delivery velocity.
Risk, fraud and compliance signals buried in siloed systems.
Clinical and operational data that never meets in one view.
Demand shifts faster than forecasts refresh.
Network visibility that ends at the warehouse door.
Churn predictors hidden inside petabytes of usage data.
Fleet telemetry with no decision layer on top.
Performance data everywhere; insight nowhere.
Banking, India
Implemented Document AI to automate document-heavy workflows — reducing manual processing effort and turnaround time while improving accuracy and auditability.
Financial Services, AMER
A holistic cloud acceleration engagement: architecture consultation, wellness checks, security posture review and 24×7 support. Costs dropped through committed- and sustained-use optimization and a move to managed cloud-native services.
Discovery, assessment and migration of an Azure-hosted Databricks environment, SQL database instances and event landing to Google Cloud — collapsing two data platforms into one, with compute and operational costs dropping sharply and maintenance radically simplified.
Energy & Utilities, APAC
Designed and delivered an IoT-based NOC on Google Cloud, bringing real-time monitoring of renewable assets onto a single pane of glass for faster, data-driven operations.
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