Raw Data In.
Decisions Out.
Serverless business intelligence on AWS — query, analyse, and visualise your data without managing a single server, without waiting on a data team.
Current Situation
Reporting depends on whoever knows SQL or Excel best — usually one engineer who’s bottlenecked by every ‘can you pull this number’ request from sales, ops, and the CEO. Dashboards are stale, the data engineering bill keeps growing, and half the leadership team has stopped asking for numbers because the answer takes three days.
The cost isn’t just delayed insight. It’s decisions made on instinct because the data wasn’t available in time, an analytics function that doubles as a bottleneck, and an infrastructure bill for warehouses, BI tools, and ETL pipelines that nobody can fully justify.
What Datascope Does
DataScope is a serverless BI analyzer built on AWS — ingesting raw data from S3, running fast SQL analytics through Amazon Athena, processing intelligent logic via AWS Lambda, and serving it all back as live dashboards. No clusters to manage. No idle compute to pay for.
Serverless From Ingest to Insight
Data lands in S3, queries run through Athena, processing happens in Lambda, dashboards render through QuickSight — no servers to provision, no clusters to scale, no idle compute to fund.
Plain-Language and SQL Querying
Business users ask questions in plain language and get charts; analysts write SQL directly against S3 and get results in seconds. Both audiences served by the same engine.
Live Dashboards, Not Stale Reports
Dashboards refresh against live data in S3 — so the number leadership sees on Monday morning is the number as it stands on Monday morning, not what was true on Friday.
Pay for What You Query
Cost scales with usage — no warehouse to keep running through the weekend, no BI seats sitting idle, no minimum spend on a tool half the team doesn’t use.
HOW IT WORKS
Raw data lands in Amazon S3 from your applications, databases, and SaaS tools. Amazon Athena runs SQL analytics directly against S3 — no warehouse, no ETL pipeline. AWS Lambda executes the processing logic that turns query results into business metrics. Amazon QuickSight renders live dashboards for sales, ops, finance, and leadership — refreshed against live data, not last week’s extract. No servers to manage. No clusters to scale. No data team bottleneck.
Amazon S3
Call recordings land in Amazon S3 the moment they are uploaded.
Amazon Transcribe
Amazon Transcribe converts the audio into accurate, speaker-attributed text.
Amazon Comprehend
Amazon Comprehend analyses sentiment, intent, and key entities across the conversation.
AWS Lambda
AWS Lambda orchestrates the pipeline and delivers a structured report within seconds of the call ending.
Why It Holds Up
Deployed in your AWS account
DataScope runs inside your own AWS environment. Your business data never leaves your infrastructure — and you keep full control over access, audit, and security.
Data resident in AWS Mumbai
All raw data, analytics, and dashboards processed and stored in the AWS Mumbai region, aligned with Indian data residency expectations.
AWS-native, fully serverless
S3, Athena, Lambda, and QuickSight only — no third-party BI licences, no warehouse contracts, no proprietary engines that lock you in.
Scales from one user to one hundred
Whether the analytics function is a single founder or a finance team of fifty, the same architecture works — pay per query, scale per need, no replatforming when the team grows.
Connects to the data you already have
Ingests from your existing applications, transactional databases, and SaaS tools through standard connectors — no rip-and-replace of the data sources, no new pipelines for the engineering team to build.
Built For
Founders, CFOs, Heads of Analytics, and Operations leaders at small and mid-sized businesses —
where the cost of a full data team isn’t justified, but the cost of deciding without data is too high to sustain.
