Welcome
iiDrak: The Open Lakehouse for AI, Anywhere
Unify your data. Reduce your costs. Deploy on any infrastructure.
Three problems quietly compound every quarter, regardless of which platform you're running today.
Consumption-based pricing scales your costs faster than your business value. Your bill this quarter is a surprise. So is next quarter's.
Proprietary formats and cloud-tied compute mean migrating costs months and millions. Your intellectual property is held hostage by someone else's architecture.
Defense, healthcare, and regulated industries can't always move sensitive data to the public cloud. Most platforms treat on-premises as an afterthought — if they support it at all.
Cloud-locked platforms, unpredictable bills growing 40% YoY, and sensitive data that legally couldn't move to the cloud — blocking every AI initiative at the compliance review.
One platform on their own hardware, every data source connected, governance and AI built in — at a predictable cost the board approves on the first review.
Built to work independently or together — covering the full data-to-AI lifecycle without forcing you into a single-vendor stack.
The open lakehouse for AI, anywhere. Unify all your data across any storage layer — with MPP querying, real-time streaming, and full time-travel versioning.
Build, train, and deploy production AI without a PhD in MLOps. Low-code drag-and-drop workflows, built-in VectorDB for RAG, and MLflow tracking — for every team.
Enterprise governance and security baked into the architecture from day one. Zero Trust, fine-grained RBAC, full lineage, and PII / GDPR / HIPAA frameworks — out of the box.
Key advantages that make iiDrak the ideal open lakehouse for your AI initiatives.
Seamlessly integrate with any S3 compliant storage solution, giving you ultimate flexibility and control over your data lake.
Deploy iiDrak on your preferred infrastructure, whether it's on-premises, in a single cloud, or across multiple clouds.
Protect your valuable intellectual property with robust, built-in data governance and security features.
Explore the key components of the iiDrak lakehouse Platform that power modern data and AI solutions.
Build reliable data pipelines that transform and prepare data for analytics and machine learning. We provide a unified platform for batch and streaming data processing.
Build, train, and deploy machine learning models faster with collaborative notebooks, MLflow for experiment tracking, and integrated model serving.
Ensure data quality, security, and compliance with Unity Catalog, providing a unified governance solution for all data and AI assets.
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Discover how iiDrak transforms data management across various industries
Open format architecture — Apache Iceberg, no proprietary lock-in
Deployment modes: on-prem, air-gapped, cloud, hybrid
Industries with pre-built compliance frameworks
Products covering the full data-to-AI lifecycle in one platform
No rearchitecting. No cloud migration. No vendor negotiation. Nexaris works with your existing stack and deploys where your data already lives.
iiDrak connects to every data source you already have — databases, data warehouses, object storage, streaming platforms, and SaaS applications — without moving or copying your data.
Choose your deployment: on-premises servers, air-gapped environment, private cloud, or any public cloud. Guardiuum enforces governance and access controls automatically from day one.
Wa-Sul AI Studio lets data engineers — not just data scientists — build, train, and deploy production AI pipelines. RAG applications, predictive models, and ML workflows ship in weeks.
No preparation needed on your end. We'll tailor the demo to your architecture.
Whether you own the architecture, the data engineering pipeline, or the compliance posture — Nexaris was built for you specifically.
On-premises, air-gapped, multi-cloud, or hybrid — iiDrak runs where your data must live.
Partner-led licensing replaces consumption billing — no surprise invoices as data volumes grow.
Apache Iceberg open formats mean your data and pipelines are always portable — renew from strength, not dependency.
iiDrak's MPP engine handles streaming and batch in one platform — no separate cluster, no dual pipelines.
Wa-Sul's drag-and-drop builder and built-in VectorDB let data engineers own RAG and ML pipelines end-to-end.
Spark, Kafka, dbt, Airflow, Tableau, Power BI — Nexaris integrates natively with what you already run.
Guardiuum's Zero Trust architecture governs every query, pipeline, and model run automatically — not as an add-on.
GDPR, HIPAA, PCI-DSS, CMMC, and SOX controls ship with the platform — configure, don't construct.
For classified or high-sensitivity environments — full platform capability with zero external dependencies.
iiDrak deploys on-premises, air-gapped, private cloud, AWS, Azure, GCP, or any combination as a first-class deployment mode. Not a workaround. Not a consulting project.
Built on Apache Iceberg and open table formats. Your data is always readable by other tools, always exportable, always yours — no conversion required. We earn your renewal by being better, not by trapping you.
Guardiuum is in the Nexaris architecture from day one. Every query, every pipeline, every model training run inherits governance controls automatically. Compliance isn't a layer you add — it's the foundation everything else runs on.
Wa-Sul AI Studio's drag-and-drop workflows, built-in VectorDB, and MLflow integration put production AI pipelines in the hands of data engineers. Your team ships in weeks, not quarters.
Evaluated across 18 dimensions that matter at enterprise scale. We've tried to be accurate, not promotional.
| Feature | Nexaris | Databricks | Snowflake | Cloudera | IBM watsonx |
|---|---|---|---|---|---|
| Deployment & Infrastructure | |||||
| On-premises deployment | ✓ Native | Limited | — | ✓ | ✓ |
| Air-gapped / classified | ✓ Native | — | — | Limited | Limited |
| Edge & hybrid deployment | ✓ | — | — | Partial | Partial |
| Multi-cloud | ✓ | ✓ | ✓ | ✓ | Partial |
| Architecture & Openness | |||||
| No proprietary format lock-in | ✓ | Delta lock | Partial | ✓ | ✓ |
| Apache Iceberg support | ✓ | ✓ | ✓ | ✓ | Partial |
| Real-time + batch unified | ✓ | ✓ | Partial | ✓ | Partial |
| AI & Machine Learning | |||||
| Built-in AI/ML studio | ✓ Wa-Sul | ✓ | Limited | Via partner | ✓ |
| Built-in VectorDB for RAG/LLM | ✓ | Via Mosaic | Cortex only | — | Partial |
| Low-code / no-code AI | ✓ | — | — | — | Partial |
| Governance, Security & Compliance | |||||
| Zero Trust architecture | ✓ Built-in | Add-on | Add-on | Partial | ✓ |
| PII / GDPR / HIPAA frameworks | ✓ | Manual | Manual | Partial | ✓ |
| End-to-end data lineage | ✓ | ✓ | Limited | ✓ | ✓ |
| Commercial Model | |||||
| Predictable (non-consumption) licensing | ✓ | — | — | Subscription | Tiered |
| Partner-led delivery model | ✓ | Direct+partner | Direct+partner | Direct+partner | Direct+partner |
| Customer owns their IP | ✓ | Config-dependent | Config-dependent | ✓ | ✓ |
Based on publicly available documentation 2025–2026. Contact us to validate specifics for your environment.
Cloud data costs had grown to $4.2M annually — up 40% YoY — with no matching growth in data-driven revenue. Meanwhile, compliance blocked every AI initiative because model training required sending sensitive financial data off-premises.
A certified Nexaris partner deployed iiDrak on the institution's existing hardware in under four weeks, migrating core workloads via open Iceberg formats — no conversion, no pipeline rebuild. Wa-Sul let the data engineering team ship a fraud-detection AI model entirely within the firewall.
Predictable licensing replaced consumption billing. Compliance approved AI initiatives in days instead of months. The institution now runs fraud detection, risk analytics, and customer 360 models entirely on-premises — with full governance and audit trails.
Open formats mean you don't have to rebuild your pipelines to adopt Nexaris. Here's how teams transition from common platforms.
Cloud bills growing faster than business value? Need on-premises for regulated workloads?
Data residency requirements? Need predictable costs instead of consumption billing?
License complexity? Need modern AI capabilities without additional vendors?
We don't sell direct. Every deployment is designed, implemented, and supported by a certified partner — so your customer gets deep expertise alongside the platform, not just a license key.
Large SIs and boutique consultancies that architect and implement enterprise data platforms. You bring the relationship and delivery capability; Nexaris brings the platform and pre-built compliance frameworks.
VARs with existing enterprise customer relationships. Nexaris extends your portfolio with a platform your customers are actively seeking alternatives for — especially in regulated verticals.
Software vendors integrating with or building alongside Nexaris — OEM arrangements, joint go-to-market, and API-level partnerships for complementary technology.
Experience our cutting-edge solutions firsthand with interactive demos
Contact our team to learn how our solutions can address your specific business needs.
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