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Coditation Systems

IN Website 51-200 employees

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Up to $25/hr
4.9

7 reviews

External Reviews

Technologies

Apache AirflowDagsterApache SparkDBTAWS GlueAWS Data PipelineSnowflakeAWS RedshiftAWS EMRAWS RDSAWS S3Google Cloud StorageKafkaDockerApache FlinkDatabricks Delta LakeHL7FHIRPACSJavaJavaScriptNode.js

Services

Application Integration & Connector DevelopmentETL/ELT Data PipelinesSnowflake Consulting & DevelopmentMachine Learning & AI SolutionsFull-Stack EngineeringMobile App DevelopmentData Architecture & DesignData Migration ServicesData Mastering & Identity ResolutionDevOps & DataOpsClinical AI DevelopmentMarTech Platform DevelopmentE-Commerce & Retail SolutionsHealthcare & Life Sciences ProductsFinTech Platform Development

Notable Clients

StepFunctionHuddl.aiConfectionForbes Fastest 500 MarTech companyForbes 2000 performance marketing agencyAI-first EHR platformNextGenMediaCoChurnAICo

Coditation is a data, AI, and product engineering firm founded in 2017 by a serial entrepreneur and technical team. Based in India with 140+ staff, the company works with 50+ clients across startups and enterprises, having delivered 120+ projects with a 75% repeat customer and referral rate. The firm specializes in three core areas: data and application integrations (400+ connectors delivered), machine learning and AI systems, and full-stack and mobile engineering (100+ UIs deployed). Coditation positions itself around a product mindset rather than pure outsourcing—founder Chetan Saundankar brings 15+ years of entrepreneurial experience, including a prior healthcare startup exit, and the leadership team includes engineers and architects with enterprise-scale backgrounds.

Services and capabilities

Codeation's core strength is application integration and connector development. The firm has built over 400 connectors and integration frameworks, often deploying what it calls "Integration PODs"—cross-functional teams of product analysts, application engineers, data integrators, and QAs. Connectors ship as Docker containers ready for CI/CD pipelines, with comprehensive documentation throughout the lifecycle. For a Forbes Fastest 500 MarTech company, they scaled integrations from zero to 300+ in 12 months by building a connector framework with canonical schema, authentication handling, transformation layers, and test suites.

Data pipeline work spans ELT, ETL, and orchestration. Coditation builds batch, micro-batch, and streaming pipelines using Airflow, Dagster, Spark, DBT, AWS Glue, and AWS Data Pipeline. The firm emphasizes maintainability and extensibility, working with petabyte-scale processing. They also offer Snowflake consulting and data warehouse architecture, including data migration from legacy systems and ELT pipelines using Snowflake with S3 or Google Cloud Storage for unstructured data.

Machine learning and AI work focuses on production-ready systems. The data science practice covers iterative model development and deployment, with examples including churn analytics platforms (ChurnAICo), clinical AI for ophthalmology, cardiology, psychology, and radiology, and NLP applications in clinical documentation. Full-stack and mobile engineering covers RIAs, micro-frontends, native and hybrid mobile apps.

Codeation also demonstrates vertical depth. In MarTech, they've built 10+ products including customer data platforms, marketing data analytics, campaign performance tracking, and churn analytics. Healthcare work includes EHR/EMR integration (HL7, FHIR), PACS and diagnostic imaging, pharma CRMs, clinical AI, and group therapy platforms. E-Commerce and Retail expertise spans customer 360 views, ERP integration, location planning, proximity marketing, and predictive analytics. FinTech work covers micro-financing and consumer lending platform development, data platforms for credit scoring, and payout automation. Media and Entertainment includes content creator analytics, media planning analytics, DDEX-based value chain management, render farm management, and video composition tools.

Notable work

For a Forbes 2000 performance marketing agency, Coditation built a marketing data warehouse stitching disparate sources together in 4 months, delivering data pipeline orchestration, connectors, and cloud warehouse to support campaign planning and analysis. With an AI-first EHR company, they designed a scalable integration architecture handling batch historical data, event-based HL7 over MLLP, and streaming healthcare IoT data.

A Singapore-based media company (NextGenMediaCo, later acquired by a telco-backed analytics firm) needed a social media analytics platform processing 7 billion data points with 200 million monthly additions. Coditation built the crawling infrastructure, Snowflake-based pipeline, ML training pipeline, and DIY BI interface. StepFunction, a SF Bay Area startup, partnered with Coditation from day one for engineering and data science, launching its V1.0 product with the team's help. Huddl.ai engaged Coditation for complex, critical projects delivered on schedule with transparency. Confection (a CEO quoted is co-founder Quimby Melton) uses Coditation's agile sprint processes for integrations extending the platform's reach; the team proactively proposes process improvements unprompted.

How they work

Codeation operates on an engagement model mixing dedicated teams (Integration PODs), staff augmentation, and project-based work. Leadership emphasizes product focus, transparency, and integrity. Aniket Deshpande (VP, Customer Success & Delivery, 20+ years experience) drives customer partnerships; Adish Katkar (VP, Architecture & Delivery, 15+ years in enterprise software) oversees delivery teams and architecture quality. Rajesh Darak leads data and full-stack engineering; Puneet Bhateja (IIT Kanpur alumnus) heads Machine Learning and AI. The firm values problem-solving ability and attention to detail over pure years of experience. Communication cadence and pricing specifics are not detailed in available materials.

Team and credentials

Codeation has 140+ staff. Founder Chetan Saundankar (CEO) brings 15+ years entrepreneurial experience; before founding Coditation he exited a healthcare startup and co-founded a VDI-as-a-Service company as founding engineer. VP Aniket Deshpande has 20+ years in business leadership; VP Adish Katkar, 15+ years in enterprise architecture; Rajesh Darak won a university gold medal; Puneet Bhateja is an IIT Kanpur alumnus specializing in production ML/AI. The company mentions Snowflake certification for architects and engineers but does not list ISO, SOC 2, or other third-party compliance badges in the source. No Clutch, G2, or similar ratings are mentioned.

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Case Studies

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Client Reviews

Reviews from verified clients

4.9

7 third-party reviews

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Frequently Asked Questions

What does Coditation specialize in?
Coditation specializes in data engineering, AI and machine learning, and product engineering. Core areas include application integration and connector development (400+ connectors delivered), ELT/ETL data pipelines at petabyte scale, Snowflake consulting, machine learning and AI systems, and full-stack and mobile app development. The firm has built 100+ user interfaces and works across MarTech, healthcare, e-commerce, fintech, and media industries.
Where is Coditation based and how large is the team?
Coditation is based in India and was founded in 2017. The company has 140+ employees. Leadership includes CEO Chetan Saundankar (15+ years entrepreneurial experience), VP Aniket Deshpande (20+ years business leadership), VP Adish Katkar (15+ years enterprise architecture), and technical leads in data engineering, machine learning, and talent acquisition.
What are some examples of Coditation's client work?
Recent work includes scaling MarTech integrations from zero to 300+ in 12 months for a Forbes Fastest 500 company; building a marketing data warehouse for a Forbes 2000 performance agency in 4 months; creating a scalable EHR integration architecture handling batch, event, and streaming data; and developing a social media analytics platform processing 7 billion data points for a Singapore-based media company.
What technologies does Coditation use for data pipelines?
For data pipelines, Coditation uses Apache Airflow, Dagster, Apache Spark, DBT, AWS Glue, AWS Data Pipeline, Snowflake, AWS Redshift, Kafka, and Databricks Delta Lake. The firm builds batch, micro-batch, and streaming pipelines and emphasizes maintainability and extensibility to support iterative product development.
Does Coditation have healthcare and fintech experience?
Yes. Healthcare work includes EHR/EMR integration (HL7, FHIR), PACS and diagnostic imaging integration, clinical AI for ophthalmology, cardiology, psychology and radiology, and NLP for clinical documentation. FinTech work covers micro-financing and consumer lending platform development, credit scoring data platforms, and payout reporting automation.
What is Coditation's engagement model?
Coditation operates using Integration PODs (dedicated cross-functional teams), staff augmentation, and project-based engagements. The company emphasizes product focus, transparency, and integrity. Specific pricing and communication cadence details are not publicly available; the firm invites prospective clients to book meetings to discuss terms.

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