The Real-time data+AI Cloud

The Fastest path from Data to data+AI Apps.



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Delighted Global Pioneers

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pharmeasy logo
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juniper logo
Optus logo
pharmeasy logo
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Accelerate data+AI Innovation

Isima accelerates data+AI apps with easy development, a lean architecture, and fast responsiveness.


Self-serve low-code data management.
Simply use Clicks, Python, and SQL to make a use-case live in minutes.

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Hyperconverged Data Middleware.
From Pixels to Alerts, all aspects of Data Engineering are elegantly unified within bi(OS).

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p99.99 < 25ms and 5K ops/sec.
bi(OS) is industry-first in delivering consistent SLAs for ML micro-services alongside ETL.

Isima stack is fast
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1 Hour to BI, 1 Day to AI, 1 Week to API

Time-to-outcome is crucial. bi(OS) is accelerating outcomes for Global B2C pioneers. Uncover insights in hours, model actions in days, and put apps into production in weeks.

Bios - The easiest, leanest and fastest path from data to data apps.

Use Cases

bi(OS) powers B2C usecases across acquisition, personalization, fulfillment and operations.  It’s converged architecture allows a single Data Analyst to deliver outcomes in days. 

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Performance Marketing

bi(OS) can increase your Revenue-on-Ad-Spend(ROAS) by 2% across Google Shopping, Google Ads, and Facebook ads.  Learn how bi(OS) can sync over 4 million SKUs in real time to improve MarTech prospecting and retargeting.

TCO Optimization

First-party Analytics

Step away from the limitations of third-party SaaS.  Discover how bi(OS) can help you implement first-party analytics that respects consumer privacy and provides unparalleled real-time capabilities.

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In-session Personalization

bi(OS) can transform ‘window-shoppers’ into engaged customers through real-time, in-session personalization. Learn how bi(OS) delivers a better-than-TikTok personalization with a 6.1% CTR and 20%+ order conversion.

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bi(OS) can deliver an Available-to-promise (ATP) solution that is the envy of eCommerce pioneers. Discover how 150 lines of code, 4 vCPUs, and 6GB of RAM can solve ATP at Fortune-25 scale with a p99 < 10ms.

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Supply-chain Optimization

Utilizing customer segmentation in last-mile fulfillment is a dream for all of Retail. Learn how bi(OS) enables a 15%+ reduction in delivery breaches, which saves 1% of GMV from cancellation.

Anomaly Detection

Anomaly Detection

bi(OS) provides unified observability across storage, database, and business metrics.  Discover how a single data analyst and bi(OS) can correlate and implement preemptive alerting for unified operations.

Bot detection

Bot Prevention

bi(OS) detects and merges malicious activity across the Big 3 Clouds.  These potential bots are available as a table for all of Isima’s customers.  Learn how multi-cloud bot detection and prevention is implemented using bi(OS).

Build | Be Different

Thought leading insights and perspective from Isima and our customers.

Introduction What is the common infrastructure hurdle shared by high-frequency trading, ad bidding, and eCommerce? Accurate and real-time inventory. All these domains have a finite commodity to trade, and it’s constantly changing hands — every nanosecond, millisecond, or second.  If an overly accurate view of inventory is provided, the risk is lost business, and likewise, […]

Customer data is imported into bi(OS) through various mechanisms, some requiring us to expose a public HTTP endpoint. These endpoints are protected against bots. We also record these attack vectors within bi(OS). We built this multi-cloud bot detection capability in 4 weeks using this data. Further, this dynamic list of bots is also made available to all our customers.
The world’s largest eCommerce player uses zero third-party pixels. The second largest uses 20+. The second-largest player has 6X lower traffic and 2X worse conversion after 20+ years of eCommerce. Is it a coincidence?  We think not. The last decade of SaaS-based crutches to optimize the eCommerce funnel has failed. As consumers demand ever-increasing privacy, the walled gardens of Google and Apple are responding with tightening around third-party support. It's time for a new way to approach eCommerce analytics that optimizes conversions, customer experience (CX), and privacy.
Distributed systems are hard. Infrastructure SLAs, sluggish database queries, and microservices latencies must be stitched together to form an accurate view for any eCommerce business. Add agile CI/CD with a Kubernetes-esque control plane, and the fragmented observability toolchain becomes a tax. How does one answer a simple question: are the customer experience (CX) and business KPIs healthy?  Well, that’s what bi(OS) empowers eCommerce teams to do.
I am Saurabh, a Tech Lead at Pharmeasy. My team develops and maintains the ML infrastructure for serving customer recommendations. Last year, we deployed our first real-time recommendation engine for non-Rx product category recommendations on our home page.  This blog will explain how Isima’s bi(OS) helped with this initiative and the solution architecture for recommendations.