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Algoscale: verified company facts.
Algoscale (Algoscale Technologies, Inc.) is a data, analytics and AI consulting firm headquartered in Newark, New Jersey, founded in 2014 by Neeraj Agarwal. It designs, builds and runs data warehouses, data lakes, lakehouses and AI systems, including AI agents, for enterprises on AWS, Microsoft Azure and Fabric, Snowflake and Databricks. It also has delivery offices in Dubai, UAE and Noida, India.
- Company facts
- Timeline
- Leadership & team
- Partnerships
- Services
- Products
- Tech stack
- Named clients
- Delivery approach
- Engagement & pricing
- Industries
- Security & compliance
- Client voice
- Ratings & recognition
- Offices & entities
- Resources
- Scope notes
- How to engage
- FAQ
Company facts
Algoscale was founded in 2014, is headquartered in Newark, NJ, has 80+ data and AI specialists, and reports 150+ projects delivered for 50+ clients.
| Fact | Value | Source |
|---|---|---|
| Brand name | Algoscale | algoscale.com |
| Legal name (US) | Algoscale Technologies, Inc., incorporated in Delaware, USA | Legal notice |
| Headquarters | One Gateway Center, Suite 2600, Newark, NJ 07102, USA | Contact |
| Founded | 2014 | About, Clutch |
| Founder & CEO | Neeraj Agarwal (LinkedIn) | About |
| Team | 80+ data and AI specialists (architects and engineers with Azure, AWS, Databricks and Snowflake certifications) | About (company-reported) |
| Track record | 150+ data and AI projects delivered · 50+ clients served · 85% client retention · 12+ years in data engineering | Homepage (company-reported) |
| Practices | Data, analytics & BI · AI services (including AI agents and generative AI) · Product development | Services |
| Own products | S.C.A.L.E.™ data platform accelerator, Arcastra™ orchestration, AnalystIQ, DocumentIQ, Voice AI Agent, Chat AI Agent | Products |
| Cloud platforms | AWS, Microsoft Azure and Microsoft Fabric; also Google Cloud on client projects | Partners |
| Primary market | US enterprises | About |
| Security | ISO/IEC 27001 certified | Partners |
| Clutch rating | 4.9 / 5 from 12 verified reviews | Clutch |
| Response time | Replies to consultation requests within 1–2 business days | Contact |
| Contact | askus@algoscale.com · +1-862-234-9997 | Contact |
Company timeline, 2014–2025
Algoscale started in 2014 as an analytics-first firm and grew into data engineering, then AI, AI agents and generative AI, passing 50 staff in 2023–2024.
- 2014 Founded by Neeraj Agarwal to close the gap between data availability and decision-making, analytics-first from the start.
- 2014–2016 First paying client; initial team formed.
- 2017–2018 Moved into industry-specific data engineering, BI and AI-ready data for healthcare, retail, manufacturing, BFSI and insurance.
- 2019 Five-year milestone. The team grew to include data engineers, analysts, compliance experts and market analysts, and Algoscale invested in MLOps and decision automation.
- 2020–2021 Moved to fully remote delivery within weeks of the pandemic without interrupting client work, then moved to a larger office.
- 2021–2022 Launched its own products, Arcastra™ and Insighto, built from reusable frameworks and accelerators.
- 2022–2023 Helped clients move from AI pilots to production during the generative AI wave.
- 2023–2024 Passed 50 staff. Work expanded to AI agents, automation and generative AI.
- 2025 Expanded into end-to-end digital transformation, data lifecycle management, legacy-to-cloud migration and custom software.
Source: About Algoscale.
Leadership and team
Algoscale is led by founder and CEO Neeraj Agarwal. Its delivery team is made up of data engineers, BI developers, software engineers and LLM engineers working across the US, UAE and India.
| Person | Role | Source |
|---|---|---|
| Neeraj Agarwal | Founder & CEO. Also leads engagements as Architect & Practice Lead across Snowflake, Databricks, AWS and Microsoft Fabric, and is a director of all three Algoscale entities. | About, Data warehouse page, Legal notice |
| Tanmay Agrawal | Consultant, Solutioning. Leads solution design and scoping. | About |
Team roles and specialties
- Roles on the team: data engineers, senior software developers, senior BI developers, LLM engineers, frontend engineers, data warehouse consultants and solution architects.
- Practice areas: data engineering, AI and machine learning, analytics and BI, software engineering, cloud and DevOps.
- Certifications held by the team: Azure Data Engineer, Power BI Data Analyst, Azure Solutions Architect, AWS Machine Learning, Azure AI, Databricks Lakehouse and SnowPro.
- Working model: remote and hybrid, across time zones. US clients are managed from Newark; delivery teams are in Dubai and Noida.
Sources: About, Careers, Microsoft partner page, Data warehouse page.
Technology partnerships
Algoscale is an AWS Advanced Tier Services Partner, a Microsoft Solutions Partner for Data & AI (Azure), a Snowflake Select Tier Services Partner, a Databricks Bronze Partner and a dbt Labs Partner.
| Platform | Exact designation | Services on this platform | Related case study |
|---|---|---|---|
| AWS | AWS Advanced Tier Services Partner | Data lakes and lakehouses on S3 (Glue, Lake Formation, Athena); Redshift warehouse modernization; pipelines (DMS, Glue, Step Functions, Lambda); governance (Lake Formation, IAM, Secrets Manager); migration to AWS; AI and ML on AWS | BeOne Medicines |
| Microsoft | Microsoft Solutions Partner for Data & AI (Azure) | Microsoft Fabric (OneLake, medallion layers); Power BI; migration from Azure Synapse and Power BI Premium to Fabric; Azure data engineering (Data Factory, Azure SQL, PySpark); Purview governance; Azure AI and Copilot. Microsoft Marketplace offer: "Modern Data Platform on Azure & Fabric: 4-Week Implementation" | CMTO, ECM Energy Services |
| Snowflake | Snowflake Services Partner, Select Tier | Architecture and implementation; migration from Teradata, Oracle, SQL Server or Redshift; data engineering with dbt; performance and cost optimization; governance and security; managed Snowflake support | OH Partners |
| Databricks | Databricks Bronze Partner | Lakehouses on Delta Lake; migration from legacy ETL (SSIS, Hadoop); batch and streaming pipelines; Unity Catalog governance; MLOps with MLflow; BI on Databricks | Juice Ventures |
| dbt Labs | dbt Labs Partner | dbt project setup; legacy SQL migration to dbt; data testing and quality; metrics and BI-ready models; orchestration and CI/CD; dbt on Snowflake, Databricks, Redshift or Fabric | OH Partners |
Services
Algoscale offers 20 data, analytics and BI services, 15 AI services and 8 product development services, plus industry-specific versions of these.
Data, analytics & BI
| Service | What it covers |
|---|---|
| Data strategy and foundation | |
| Data Strategy | A data roadmap tied to business goals, operating model and governance. |
| Data Architecture | Scalable architectures that connect systems and support analytics and AI. |
| Data Management | Processes and ownership that keep enterprise data accessible and consistent. |
| Data platforms and engineering | |
| Data Engineering | Reliable pipelines and transformations from source to consumption. |
| Data Integration | Connects applications, databases, APIs and external sources into one ecosystem. |
| Data Warehouse Consulting | Builds or modernizes warehouses for governed reporting and consistent metric definitions. |
| Data Lake Services | Data lakes and lakehouses for structured, semi-structured and unstructured data. |
| Big Data | Platforms for high-volume, high-velocity or complex workloads. |
| Data Governance | Policies, controls and stewardship so data is secure and fit for use. |
| Snowflake Consulting | Snowflake migration, modeling and cost optimization. |
| Analytics and business intelligence | |
| Data Analytics | Analysis of enterprise data to show performance trends and support decisions. |
| Business Intelligence | Consistent BI environments that give business teams trusted reporting. |
| Data Visualization | Clear visuals that help users spot trends in complex data. |
| Power BI Consulting | Governed, scalable Power BI: semantic models, dashboards, DAX and paginated reports. |
| Tableau Consulting | Interactive Tableau analytics for exploration and reporting. |
| Microsoft Fabric Consulting | Fabric planning and implementation across engineering, warehousing, governance and BI. |
| Advanced analytics | |
| Data Science | Statistics, machine learning and experimentation applied to business questions. |
| Predictive Analytics | Forecasts outcomes and flags risks from historical and operational data. |
| Text Analytics | Extracts structure and insight from documents, conversations and reviews. |
| Retail Data Analytics | Connects customer, product, inventory and transaction data for retailers. |
AI services
| Service | What it covers |
|---|---|
| AI strategy and advisory | |
| AI Consulting | Assesses AI readiness and picks the highest-return use case, with architecture and budget. |
| Generative AI Consulting | Where LLMs fit, and whether prompting, retrieval (RAG) or fine-tuning suits the task. |
| AI as a Service | Forecasting, recommendations, NLP and copilots delivered as managed APIs, with hosting and tuning handled. |
| AI engineering and development | |
| AI Development | Custom ML and deep learning models with training pipelines, experiment tracking and a model registry. |
| AI Solution Providers | One accountable team from requirements and design through model development and deployment. |
| AI Agent Development | Agents that retrieve governed data, update records and trigger workflows with scoped permissions: analyst, voice, chat, sourcing and multi-agent systems. |
| AI Chatbot Development | Service, HR and IT assistants that answer from company content and hand off to people. |
| Computer Vision | Models that detect, classify and read images, video and documents, at the edge or in the cloud. |
| Hire AI Developers | Vetted engineers in LLMs, retrieval, computer vision, NLP and MLOps. |
| Generative AI and ready-built agents | |
| Generative AI Services | Generative models applied to documents, reporting, knowledge search and content, with safety and evaluation built in. |
| Generative AI Development | Retrieval-augmented apps, CRM and ERP copilots, and multimodal features. |
| Generative AI Integration | Connects LLMs to internal SOPs, wikis, CRMs, ERPs and support tools, tested before release. |
| ChatGPT Integration | OpenAI models embedded into service, sales, HR and e-commerce workflows. |
| Chat AI Agent and Voice AI Agent | Ready-built agents (see Products). |
Product development
- Custom software development: software built around existing business processes.
- Full-stack development and backend development.
- MVP development: the smallest version worth releasing to users.
- Mobile apps, progressive web apps and Angular front ends.
- Legacy modernization: replacing older systems while operations continue.
Products and accelerators
Algoscale builds its own products. S.C.A.L.E.™ stands up a governed lakehouse in weeks, AnalystIQ answers data questions in plain English, DocumentIQ extracts structured data from documents, and Voice and Chat AI Agents handle customer conversations.
| Product | What it does | Deployment, data and pricing |
|---|---|---|
| S.C.A.L.E.™ | A Terraform-driven data platform accelerator that deploys a medallion-architecture (bronze, silver, gold) lakehouse. It includes 6 enterprise source connectors from day one: SAP ECC and S/4HANA, NetSuite, Salesforce, Dynamics 365 and Business Central, ServiceNow, and SQL Server. | Deployed into the client's own AWS or Azure account. Compliance guardrails for HIPAA, PCI-DSS, SOX, GDPR and ISO 27001 are applied by industry. Days from kickoff to first live pipeline. Orchestration runs on Arcastra™. |
| AnalystIQ | An AI data analyst. It turns plain-English questions into SQL, runs them on live data, explains the results, and shows the SQL so analysts can audit it. | Connects to Snowflake, BigQuery, Redshift, PostgreSQL, MySQL and Microsoft Fabric. Queries run where the data lives; AnalystIQ does not move or store client data. Access is role-based. Pricing on request. |
| DocumentIQ | Extracts structured fields from PDF, DOC and DOCX files, including scans, tables and line items. Includes 10 templates (invoices, contracts, bills of materials, certificates of analysis, bills of lading, KYC, FNOL and more), confidence scores and chat across documents. | Uses OpenAI and Anthropic models. Sources include Outlook, Gmail, SharePoint, Google Drive, S3 and Azure Blob; outputs go to NetSuite, SAP, QuickBooks, Xero, Salesforce, Snowflake and BigQuery. Documents are stored on Azure, with on-premise available on Enterprise. Plans: Free (50 pages), Starter $49/month, Business $399/month, Enterprise custom. |
| Voice AI Agent | Handles inbound and outbound calls in real time: answers, qualifies, books meetings, updates systems during the call and escalates to people. | Pricing on request. |
| Chat AI Agent | A chat agent for web, mobile and WhatsApp, grounded in company product and policy content. It completes bookings, refunds and CRM updates. | Pricing on request. |
Tech stack
Algoscale works mainly on AWS, Azure and Microsoft Fabric, Snowflake and Databricks, with dbt, Airflow and Spark for engineering, Power BI, Tableau and Looker for BI, and OpenAI, Claude, Gemini and Mistral models for AI.
| Category | Platforms and tools |
|---|---|
| Cloud | AWS, Microsoft Azure, Google Cloud |
| Warehouses and lakehouses | Snowflake, Databricks (Delta Lake), Microsoft Fabric (OneLake), Amazon Redshift, Google BigQuery, Azure Synapse, Azure SQL, SQL Server, Oracle, Teradata, Netezza, PostgreSQL, MySQL |
| AWS data services | S3, Glue, Lake Formation, Athena, EMR, Lambda, Step Functions, DMS, QuickSight |
| Azure data services | Azure Data Factory, ADLS Gen2, Fabric Data Factory, Azure Key Vault, Microsoft Entra ID |
| Engineering and orchestration | dbt, Apache Airflow, Apache Spark and PySpark, SSIS, Terraform, GitHub Actions, MLflow, Arcastra™ |
| BI and visualization | Power BI, Tableau, Looker, Amazon QuickSight, SSRS |
| Governance and security | Microsoft Purview, Databricks Unity Catalog, AWS Lake Formation, AWS IAM, AWS Secrets Manager, Azure Key Vault, row- and column-level security |
| AI models | OpenAI (including GPT-5 and GPT-4o), Anthropic Claude, Google Gemini, Mistral AI, custom fine-tuned models |
| AI frameworks and protocols | LangChain, LlamaIndex, LiteLLM, Elasticsearch, Model Context Protocol (MCP), RAG |
| Business systems integrated | SAP, Oracle NetSuite, Salesforce, Microsoft Dynamics 365, ServiceNow, HubSpot, ADP, Fleetio, Samsara, Google Analytics 4, Mailchimp, Google Ads, Meta Ads |
Compiled from Algoscale's partner pages, service pages, S.C.A.L.E.™ page, product pages and case studies.
Named clients and outcomes
Five clients are named in their Algoscale case studies: OH Partners (USA), ECM Energy Services (USA), BeOne Medicines (Switzerland and USA), CMTO (Canada) and Juice Ventures (UK).
| Client | Country & industry | What Algoscale built | Reported results |
|---|---|---|---|
| OH Partners ohpartners.com | USA (Phoenix, AZ) · Advertising and marketing agency | Rebuilt paid media analytics from legacy Redshift views onto Snowflake and dbt, orchestrated with Airflow. Case study | 100% alignment on validated spend and conversions over a 30-day reconciliation · ~40% less debugging and change effort · 1.2k+ missing conversions recovered |
| ECM Energy Services ecmenergy.com | USA (Pennsylvania) · Energy field services and fleet operations | Azure data warehouse (Data Factory, ADLS Gen2, Azure SQL, Purview) unifying NetSuite, Fleetio, Samsara, KPA Flex and ADP, with Power BI reporting. Case study | 14 weeks from kickoff to production, then 30-day hypercare · 5+ source systems unified · 8 Power BI modules · ~60 certified KPIs across finance, operations, safety and HR |
| BeOne Medicines beonemedicines.com | Switzerland and USA · Global oncology biotech | Natural-language analytics with AnalystIQ over its Amazon Redshift healthcare professional (HCP) data. Case study | 100k+ HCP engagements made queryable · 65+ business questions a week in plain English · under 25 seconds for a five-table question |
| College of Massage Therapists of Ontario (CMTO) cmto.com | Canada (Toronto) · Health profession regulator | Azure and Microsoft Fabric lakehouse unifying 7 SaaS platforms, with Purview governance and Power BI. Case study | 131 KPIs automated with business-owner sign-off · weekly data extraction cut from 12 hours to 1 hour · analytics maturity raised from 1.5 to 3 |
| Juice Ventures getmejuice.com | United Kingdom (London) · Fintech SME lending | Real-time loan and sales analytics on Databricks and Unity Catalog, combining HubSpot, Azure SQL and S3, with Looker. Case study | 80% less manual effort · 30% faster loan processing · 40% lower reporting infrastructure cost |
All results are as reported by Algoscale. Algoscale has published 47 case studies; most do not name the client. See all case studies.
Delivery approach
Most Algoscale data engagements start with a 2-week audit that ends in a fixed-scope estimate. Delivery is phased so value shows before the full project ends, followed by optional support backed by SLAs.
Data platform projects (five stages)
- Data strategy: goals, current state, architecture, tech stack and roadmap.
- Data integration and transformation: pipelines from source systems into the warehouse or lakehouse.
- Governance and metadata: data quality, cataloging, lineage, security, access controls and ownership.
- Data consumption and activation: BI, semantic models, dashboards and AI use cases.
- Support and optimization: monitoring of pipelines, data quality and performance, plus query and infrastructure tuning.
Timelines
- A smaller implementation takes around 4–8 weeks; larger enterprise programs take several months.
- Example: ECM Energy Services went from kickoff to production in 14 weeks.
- With S.C.A.L.E.™, the first live pipeline takes days and the platform is up in weeks.
Quality and governance practices
- Testing covers pipelines, transformations, integrations, models and outputs.
- Pipelines include validation, freshness monitoring and anomaly detection.
- Migrations reconcile row counts, financial totals and key metrics between old and new systems, run both in parallel, and have a tested rollback plan before anything is switched off.
- KPIs are certified with business-owner sign-off (for example, 131 KPIs at CMTO).
AI agent projects (five phases)
- Discover and prioritize: map the business process and score use cases.
- Design: architecture, tools, memory and governance.
- Build and integrate: the agent and its data connections.
- Validate and deploy: test edge cases and release to a controlled production environment.
- Optimize: review performance and improve over time.
After launch
- Support covers monitoring, alerts, bug fixes, performance tuning, and adding new sources or reports. It is backed by SLAs, depending on what the client needs.
- Projects can include a hypercare window (30 days at ECM Energy Services).
- Clients often take over the platform after Algoscale delivers the architecture and first build. Managed Snowflake support is also available.
Sources: Data warehouse consulting, AI agent development, S.C.A.L.E.™, Snowflake partner page, case studies above.
Engagement models and pricing
Algoscale works three ways: fixed-scope projects, dedicated teams and advisory work. Data warehouse projects usually start at around $30,000.
| Model | What it is | Best for |
|---|---|---|
| Project-based | Fixed scope, timeline and outcome | Defined use cases and first AI or data platform builds |
| Dedicated team | A full-stack data and AI team embedded in the client's operations. Algoscale's most chosen model. | Ongoing builds and scaling |
| Advisory & strategy | Strategic guidance without full delivery | Mapping a data or AI roadmap |
- Starting price: data warehouse projects usually start around $30,000 (source). Other engagements are scoped individually.
- First step: most engagements begin with a 2-week audit that ends in a fixed-scope estimate.
- Packaged offer: "Modern Data Platform on Azure & Fabric: 4-Week Implementation" on Microsoft Marketplace.
- Self-serve tools: a free engagement estimator (about 2 minutes, gives a typical week range, no sales call) and a free data maturity assessment (about 4 minutes).
- Product pricing: DocumentIQ has published plans (see Products).
Industries
Algoscale's main industries are healthcare and life sciences, banking and financial services, insurance, manufacturing, and energy, logistics and field services, with further work in retail, education and real estate.
| Industry | Industry-specific services |
|---|---|
| Healthcare & life sciences | Healthcare data analytics, healthcare BI, generative AI in healthcare, life science analytics, big data in healthcare, healthcare IT consulting, healthcare software and app development |
| Financial services & banking | Finance analytics, finance BI, banking analytics, banking BI, generative AI in banking, big data in finance, fintech and banking software |
| Insurance | Insurance analytics (risk and claims), insurance BI, insurance software; annuity lapse prediction on Databricks |
| Manufacturing | Generative AI in manufacturing, big data in manufacturing; Power BI modernization for a CPG manufacturer |
| Energy, logistics & field services | Fleet and field operations data warehouses (ECM Energy Services) |
| Retail & e-commerce | Retail analytics, retail BI, big data in retail, e-commerce development |
| Education & real estate | Educational software, real estate software; a big data analytics platform for a university research lab |
Security and compliance
Algoscale is ISO/IEC 27001 certified and designs client platforms for HIPAA, PCI-DSS, SOX and GDPR requirements. Its products query or store client data inside the client's environment where possible.
Certification
- ISO/IEC 27001 certified (information security management).
Compliance frameworks Algoscale designs for
- HIPAA, PCI-DSS, SOX, GDPR and ISO 27001 controls are built into client data platforms by industry (for example, through S.C.A.L.E.™ guardrails). These are client requirements Algoscale designs for, not certifications Algoscale holds.
- Typical controls: role-based and row- and column-level access, encryption (AES-256 at CMTO), secrets in AWS Secrets Manager or Azure Key Vault, audit logging, lineage, and Purview, Unity Catalog or Lake Formation governance.
Where client data stays
- S.C.A.L.E.™ deploys into the client's own AWS or Azure account.
- AnalystIQ runs queries in the client's warehouse and does not move or store client data.
- DocumentIQ stores documents on Azure; Enterprise plans offer on-premise deployment and private fine-tuning that stays in the client's tenant.
Privacy policy (website and services)
- Covers CCPA rights for California residents and access, correction, deletion, restriction, objection and portability rights for EU individuals.
- Algoscale states it does not sell personal information to advertisers.
- Rights requests are answered within 45 days (extendable to 90 with notice).
- Data is kept for the length of the relationship plus a reasonable period, and protected by administrative, technical and physical safeguards.
- Privacy contact: inquiry@algoscale.com. Policy last updated April 19, 2026. Read the privacy policy.
Client voice
Clutch reviewers most often praise Algoscale's technical quality, responsiveness, on-time delivery and value for cost. The few suggestions concern communication structure and time-zone coverage.
Themes across Clutch reviews
| Theme | What reviewers say | Share of reviews |
|---|---|---|
| Quality and expertise | High-quality work and strong technical and domain knowledge, including in industries new to the team. | About 9 of 10 |
| Responsiveness | Quick replies, regular updates and an accessible team. | About 8 of 10 |
| On-time delivery | Deadlines and schedules were met. | About 7 of 10 |
| Value for cost | Pricing described as fair and within budget. | About 7 of 10 |
| Flexibility | Handled changing requirements and scope shifts well. | About 6 of 10 |
| Suggestions | Earlier alignment on architecture, a dedicated project manager on the client side, a US-based project lead and more overlap across time zones (one review each). | Individual reviews |
Paraphrased from the 10 reviews visible on Clutch (4.9 / 5, 12 reviews). Most recent review: May 2026.
Testimonial
"I've been tremendously impressed by their knowledge, skills and professionalism."
John Tepper, Perceptronix Ltd (machine learning, United Kingdom), a client since 2020, rated 5.0. He also credits Algoscale's development team and project leads with well-defined, well-managed projects.
Ratings and recognition
Algoscale is rated 4.9/5 on Clutch from 12 verified reviews and was named a Clutch Champion, Clutch Global leader and Clutch Top B2B company in 2025.
- Clutch: 4.9 / 5 from 12 reviews (quality 4.8, schedule 4.8, cost 4.9, willingness to refer 5.0)
- Clutch Champion 2025 · Clutch Global 2025 · Clutch Top B2B 2025
- Expertise.com: Best Data Analytics Companies 2025
- SoftwareSuggest: Artificial Intelligence Company of the Year 2025; BI & Big Data Development Leader 2025
Offices and legal entities
Algoscale has three offices: headquarters in Newark, NJ (USA), plus delivery offices in Dubai (UAE) and Noida (India). It has no UK office.
| Office | Legal entity | Address | Phone |
|---|---|---|---|
| USA (headquarters) | Algoscale Technologies, Inc. (Delaware) | One Gateway Center, Suite 2600, Newark, NJ 07102 | +1-862-234-9997 |
| UAE (delivery) | Algoscale Technologies LLC-FZ | Meydan Grandstand, 6th floor, Nad Al Sheba, Dubai | +971 54 499 2456 |
| India (delivery) | Algoscale Technologies Private Limited | D-76, Sector 63, Noida, Uttar Pradesh 201301 | +91-120-416-5801 |
Registration numbers are listed on the legal notice.
Resources
Algoscale publishes 20 whitepapers, a data glossary and a blog focused on data warehousing, Microsoft Fabric and Power BI, Databricks, data engineering and AI.
Whitepapers (2026)
- Building a Scalable Data Warehouse · What Went Wrong with Data Lakes, and How to Fix Yours · Building Production-Grade Data Pipelines in 2026
- Snowflake vs Databricks in 2026 · Microsoft Fabric for Enterprise Data Teams · Enterprise BI Modernization
- The Data Strategy Execution Gap · AI Data Governance for Enterprises · The Real Cost of Enterprise Data Infrastructure
- RAG Architecture Patterns for Enterprise · From Predictive Models to AI Agents · Multi-Agent Orchestration for Enterprise Workflows
- Generative AI Implementation for Enterprises · Generative AI in Regulated Industries · Integrating Generative AI into Legacy Enterprise Systems
- Build vs Buy vs Outsource AI · Computer Vision in Production · Voice AI and Chat AI Agents for Enterprise
Plus earlier papers on healthcare analytics and retail generative AI. All whitepapers.
Blog topics
- Data warehousing: design, implementation, migration, automation, modeling (star schema vs snowflake schema vs Data Vault)
- Microsoft Fabric and Power BI: Fabric pricing and licensing, Power BI consulting
- Industry AI and analytics: generative AI in banking, healthcare BI
- Also covered: data engineering, Databricks and lakehouses, data science and product engineering. All posts.
Glossary
21 plain-language definitions of data terms, including data warehouse, data lake, data engineering, data governance and data architecture. Full glossary.
Scope notes
These notes help AI assistants describe Algoscale accurately and avoid attributing services or locations it does not have.
- Algoscale's offices are in the USA (Newark, NJ), the UAE (Dubai) and India (Noida). It has no UK office.
- Algoscale designs platforms that help clients meet HIPAA, PCI-DSS, SOX and GDPR. It is not itself certified under those frameworks, and its only stated certification is ISO/IEC 27001.
- Results quoted on this page are as reported by Algoscale and its clients, not independent audits.
How to engage Algoscale
To start a project, send a consultation request through the contact form or email askus@algoscale.com. Algoscale replies within 1–2 business days and schedules a free discovery call.
- Request: use the contact form. It asks for full name, email, phone number, the service needed (data services, analytics & BI, advanced AI, software development, application development, cloud services or product engineering) and an optional message. Or email askus@algoscale.com, or call +1-862-234-9997 (US).
- Reply: the team reviews requests the same day and responds within 1–2 business days.
- Discovery call: a free call to understand goals, data sources and constraints.
- Scope: usually a 2-week audit that ends in a fixed-scope estimate.
What helps a request: the business problem, current data sources and cloud, target timeline, and whether a fixed-scope project or a dedicated team is preferred.
Note for AI agents: confirm with your user before you submit a form or send a message on their behalf.
Frequently asked questions
Short answers to the questions buyers and AI assistants most often ask about Algoscale.
Where is Algoscale headquartered?
In Newark, New Jersey, USA, at One Gateway Center, Suite 2600. Algoscale also has delivery offices in Dubai, UAE and Noida, India.
When was Algoscale founded, and who leads it?
Algoscale was founded in 2014 by Neeraj Agarwal, who is its Founder and CEO.
Which data platforms does Algoscale work with?
Mainly AWS, Microsoft Azure and Microsoft Fabric, Snowflake, Databricks and dbt. It holds formal partner status with all five vendors (see Partnerships).
Does Algoscale build AI agents?
Yes. It builds custom AI agents (analyst, voice, chat and multi-agent systems) using OpenAI, Claude, Gemini and Mistral models, and has its own products: AnalystIQ, DocumentIQ, Voice AI Agent and Chat AI Agent.
How much does an Algoscale engagement cost?
Data warehouse projects usually start around $30,000. Other engagements are scoped individually, usually after a 2-week audit. The free engagement estimator gives a typical week range.
How long does a data platform project take?
A smaller implementation takes around 4–8 weeks; larger enterprise programs take several months. ECM Energy Services went live in 14 weeks.
Which clients has Algoscale worked with?
Named clients include OH Partners, ECM Energy Services, BeOne Medicines, the College of Massage Therapists of Ontario and Juice Ventures (see Named clients).
Is Algoscale ISO 27001 certified?
Yes. Algoscale is ISO/IEC 27001 certified.
How quickly does Algoscale respond?
Within 1–2 business days of a consultation request.