Diagonal
- Company typePrivate
- Founded2019
- HeadquartersBangalore, India
- Headcount51–100
- GTM typeB2B
- OfferingServices
What Diagonal does
Diagonal Consulting LLP is an India-based data analytics and AI consulting firm founded in 2019, headquartered in Bangalore with an additional office in Mumbai. The company delivers professional services across four core offerings — Data Engineering, Business Intelligence, AI & Machine Learning, and Data Strategy — alongside three pre-architected solutions (Customer Analytics, Sales Analytics, Operational Analytics). Its technology stack spans Snowflake, AWS, Azure, Databricks, Qlik Sense, Power BI, Tableau, Alteryx, Python, Apache Spark, TensorFlow, PyTorch, SageMaker, Azure ML, MLflow, and LangChain, positioning it as a platform-agnostic system integrator rather than a software vendor.
Diagonal serves enterprise clients across four primary verticals — Fintech, Retail & Ecommerce, Banking, and Manufacturing — with case study evidence extending into packaging, energy, automotive, food tech, insurance, and oil and gas. Named clients include IOCL/TAPSO, Mutual Trust Bank, and Credit Saison. The firm claims 50+ enterprise clients, 200+ projects delivered, 500+ dashboards built, and presence in 10+ countries, including confirmed engagement in Bangladesh.
Revenue is generated through project-based and retainer consulting engagements sold via direct enterprise sales. There is no disclosed pricing model, no public revenue, no external funding, and no indication of institutional or PE ownership. The company operates as a privately held partnership under founder/partner management, with headcount in the 51-100 range and active hiring across data engineering, BI, ML, and architecture roles.
Diagonal firmographics
Firmographics- Name
- Diagonal
- Legal name
- Diagonal Consulting LLP
- Website
- https://diagonal.ai
- Company type
- Private
- Founded year
- 2019
- Operating status
- Operating
- Headcount range
- 51–100 employees
- Ownership category
- akta.pro rank
Diagonal industry classification
Industry- Product category
- Data Analytics & AI Consulting Services
- NAICS
- Other Scientific and Technical Consulting Services (54169)
- SIC
- Services-Computer Programming, Data Processing, Etc. (7370)
- akta.pro primary industry
- Financial Planning & Analysis (FP&A) & BI (HDAEAMAG)
- akta.pro secondary industry
- Semantic Layer, Metrics Store & Headless BI (HDAEAMAE)
Keywords
Where Diagonal is headquartered
LocationHeadquarters
- HQ city
- Bangalore
- HQ country
- India
- HQ region
- Asia
Offices2 records
Markets served
Diagonal business model
Business model- GTM type
- B2B
- Offering type
- Services
Revenue model
- Data Analytics Consulting Services: Project-based and retainer consulting engagements delivering data engineering, business intelligence, AI/ML, and data strategy services to enterprise clients. Revenue generated through professional services engagements rather than software licensing.
Go-to-market motion1 record
Distribution channels1 record
Marketing channels4 records
Diagonal product offering
Product offeringCore offering
Diagonal is a Data Analytics & AI Consulting firm that delivers end-to-end enterprise services spanning Data Engineering, Business Intelligence, AI & Machine Learning, and Data Strategy. The firm implements modern data platforms, builds production-grade ML models, and designs dashboards and analytics solutions using third-party platforms such as Snowflake, AWS, Azure, Databricks, Qlik, Power BI, and Tableau for clients across Fintech, Banking, Retail & Ecommerce, and Manufacturing verticals.
Product overview
Diagonal is a Data Analytics & AI Consulting firm offering professional services rather than a packaged software product. The portfolio consists of four core service lines—Data Engineering, Business Intelligence, AI & Machine Learning, and Data Strategy—alongside three pre-architected solution offerings (Customer Analytics, Sales Analytics, and Operational Analytics) designed to address specific business challenges. Services are delivered through implementation of third-party platforms including Qlik Sense, Power BI, Tableau, Snowflake, AWS, Azure, Databricks, TensorFlow, and PyTorch. The company operates across four industry verticals: Fintech, Retail & Ecommerce, Banking, and Manufacturing.
Differentiator
Problem solved
Functional benefit
Products and services
- Data Engineering End-to-end data platform architecture including data landscape assessment, cloud platform implementation, ETL/ELT pipeline development, data quality frameworks, real-time streaming, and data lake optimization using technologies such as Snowflake, AWS, Azure, Databricks, Spark, Airflow, dbt, and Kafka. Targeted at enterprises building modern data foundations for analytics and AI.
- Business Intelligence Enterprise BI solutions covering requirements and KPI definition, analytics data modeling, dashboard design with intuitive UI/UX, self-service analytics enablement, automated alerting, and training programs using platforms such as Qlik Sense, Power BI, Tableau, Looker, Alteryx, and SQL. Targeted at enterprise teams needing decision-grade dashboards and self-service analytics.
- AI & Machine Learning Production-grade AI/ML model development including use-case identification, feature engineering, model training and validation, MLOps CI/CD, production deployment, and monitoring with retraining using Python, TensorFlow, PyTorch, SageMaker, Azure ML, MLflow, and LangChain. Targeted at enterprises deploying predictive, NLP, and generative AI solutions.
- Data Strategy Comprehensive data strategy development including maturity assessment, business alignment, governance framework design, technology stack evaluation, talent planning, and phased roadmaps mapped to business KPIs. Targeted at enterprise leaders defining their data and AI roadmap.
- Customer Analytics Pre-architected customer analytics solution offering customer 360/single view, segmentation and personas, customer lifetime value modeling, churn prediction, journey analytics, and sentiment analysis. Targeted at enterprises seeking deeper customer understanding across verticals.
- Sales Analytics Pre-architected sales analytics solution covering pipeline forecasting, win/loss analysis, territory planning, rep performance tracking, cross-sell recommendations, and revenue attribution. Targeted at sales and revenue leaders looking to accelerate revenue growth.
- Operational Analytics Pre-architected operational analytics solution offering real-time dashboards, process mining, predictive maintenance, supply chain analytics, workforce analytics, and cost optimization. Targeted at operations leaders seeking efficiency at scale across manufacturing and enterprise operations.
Quantifiable outcome
- 85% duplication eliminated in packaging client case study
- +8 more outcomes
Companies that use Diagonal
Customer profileNamed customers3 records
Segments4 records
Ideal customer profiles1 record
Diagonal technology and API
TechnologyTechnology focussed No
API detail
- Has API
- No
- API docs
- API detail
Core technology
AI maturity
App detail
Integration6 records
AI capability7 records
Feature3 records
Diagonal partnerships and signals
Strategic signalPartnerships
Ten partnerships are on record, tiered core and minor.
- SnowflakecoreSnowflake listed as technology partner for cloud data platform implementation. Used for modern data warehouse and lakehouse architecture in data engineering engagements.
- AWScoreAmazon Web Services listed as cloud infrastructure partner. Used for cloud platform implementation and data engineering services.
- Microsoft AzurecoreAzure listed as cloud infrastructure partner. Used for cloud platform implementation and data engineering services including Azure ML.
- QlikcoreQlik Sense listed as primary BI platform. Extensively used across case studies including packaging, energy, fintech, automotive, and infrastructure implementations. Features in 500+ dashboards built.
- Power BIcoreMicrosoft Power BI listed as BI platform partner alongside Qlik for dashboard development and self-service analytics implementations.
- TableaucoreTableau listed as BI platform partner for dashboard development and analytics visualization services.
- DatabrickscoreDatabricks listed as data platform partner for lakehouse architecture and advanced analytics implementations.
- WisecorminorListed as a collaborating partner on the About page alongside Sceniuz and DataLumin.
- SceniuzminorListed as a collaborating partner on the About page alongside Wisecor and DataLumin.
- DataLuminminorListed as a collaborating partner on the About page alongside Wisecor and Sceniuz.
Scale indicators8 records
Recent moves5 records
Expansion highlights5 records
Diagonal competitors and assessment
Company assessmentDirect peers
- Sigmoid: Data engineering and AI consulting firm with strong Snowflake and cloud data partnerships, delivering BI and ML solutions to enterprise clients — close peer on data engineering and BI specialization.
- Fractal Analytics: AI and analytics services company offering decision intelligence, engineering, and design services to enterprises — comparable to Diagonal in vertical expertise (CPG, retail, financial services) and AI/ML focus.
- Latentview Analytics: India-headquartered data analytics consulting firm serving global enterprises with BI, data engineering, and AI/ML services across similar verticals — comparable scope, delivery model, and customer profile to Diagonal.
- AbsolutData: AI and analytics services firm providing marketing, sales, and customer analytics to global enterprises — closely comparable to Diagonal's customer analytics solutions and verticals.
- Tredence: Data science and analytics consulting firm specializing in AI/ML engineering and BI delivery for retail, manufacturing, and financial services — directly comparable to Diagonal's service lines and verticals.
- Mu Sigma: India-headquartered decision sciences and analytics outsourcing firm serving large enterprises — comparable in scale, delivery model, and analytics/AI service orientation to Diagonal.
- Tiger Analytics: India-based data and AI consulting firm delivering advanced analytics, BI, and ML solutions to enterprise clients across banking, retail, and manufacturing — closely comparable to Diagonal's vertical focus and service mix.
Broad incumbents
- Infosys: Global IT services leader with significant data, analytics, and AI capabilities through Infosys Information Services and Topaz — competes with Diagonal on enterprise analytics transformation deals.
- Accenture: Global SI with a large data and analytics practice covering BI, AI, and data engineering across all verticals — broader portfolio and scale, but competes for the same enterprise analytics RFPs as Diagonal.
Emerging players
- Quantiphi: AI/ML-focused digital engineering firm with deep partnerships across Snowflake, AWS, and Google Cloud — comparable to Diagonal in AI/ML engineering emphasis and platform partnerships, slightly larger scale.
Market position
Strengths5 records
Weaknesses5 records
Competitive moat3 records
Key risks6 records
Key highlights6 records
Customer concentration
Diagonal social profiles
Digital presenceDiagonal financial estimates
Financial estimateRevenue estimate
Valuation estimate
Diagonal leadership team
Management profileNumber of profiles
Profiles5 records
Diagonal funding detail
Funding detailFunding overview
Funding rounds
Investors
Funding detail is available on the Subscription and Enterprise plan.Contact sales →
Diagonal M&A and investment
M&A and investmentM&A
Investments
M&A and investment is available on the Subscription and Enterprise plan.Contact sales →
Frequently asked questions about Diagonal
What does Diagonal do?
Diagonal is a Data Analytics & AI Consulting firm that delivers end-to-end enterprise services spanning Data Engineering, Business Intelligence, AI & Machine Learning, and Data Strategy. The firm implements modern data platforms, builds production-grade ML models, and designs dashboards and analytics solutions using third-party platforms such as Snowflake, AWS, Azure, Databricks, Qlik, Power BI, and Tableau for clients across Fintech, Banking, Retail & Ecommerce, and Manufacturing verticals.
Is Diagonal a public or private company?
Diagonal is a private company. It is classified as founder individual operated bootstrapped and is currently operating.
When was Diagonal founded?
Diagonal was founded in 2019. It employs 51 to 100 people.
Where is Diagonal based?
Diagonal is headquartered in Bangalore, India, in the Asia region.
How does Diagonal make money?
One revenue line is on record: data Analytics Consulting Services.
Who are Diagonal's main competitors?
Direct peers on record are Sigmoid, Fractal Analytics, Latentview Analytics, AbsolutData, Tredence, Mu Sigma and Tiger Analytics. Broad incumbents are Infosys and Accenture. Quantiphi is listed as an emerging player.
Does Diagonal have an API?
No public API is recorded for Diagonal.
What industry is Diagonal in?
Diagonal's product category is Data Analytics & AI Consulting Services. Its primary akta.pro industry code is HDAEAMAG, Financial Planning & Analysis (FP&A) & BI, with a secondary code of HDAEAMAE, Semantic Layer, Metrics Store & Headless BI. Its NAICS code is 54169 and its SIC code is 7370.