What if database reasoning was
accurate, instant and limitless?

Native is the most accurate database reasoning system in the world built for your most complex enterprise data.

Companies are modernizing their data to take full advantage of AI

Current estateDatabase reasoningData foundations

duplicate customer recordsrevenue defined three different waystimezones mixed in timestampsthe analyst who knew has leftpipelines nobody dares to touchnull-heavy columns nobody trustsa 4,000-line stored procedure owns revenuenightly EBCDIC dumps from the mainframean ERP with 90,000 tablesevery customer counted oncerevenue that matches financethe right churn for every teampipelines you can audit

Current estate

Data foundations

every customer counted oncerevenue that matches financethe right churn for every teampipelines you can audit

Understanding the data is still the bottleneck

Manual discovery

Teams inspect data, pipelines, code, and reports, and interview subject-matter experts. This is where the months go.

Slow and error prone.

AI-assisted discovery

AI generates SQL, summarizes artifacts, and drafts plans. Faster, but it works on what people wrote about the data.

Faster, but only as true as the docs.

Database reasoning

Native reasons directly across the data itself to discover structure, relationships, definitions, exceptions, and gaps.

Understanding from the data itself.

Native connects to any underlying data source

Tested across warehouses, lakehouses, databases and event streams.

Native builds and validates custom integrations to internal APIs.

All from within your environment.

OracleSQL ServerIBM Db2SAP HANATeradataSnowflakeDatabricksBigQueryAmazon RedshiftAzure SynapseMicrosoft FabricPostgreSQLMySQLMariaDBClickHouseDuckDBTrinoPrestoAmazon AuroraCloud SQLAlloyDBCloud SpannerAzure SQLSQLiteCockroachDBSingleStoreTiDBSupabaseNeonPlanetScaleIBM InformixIBM NetezzaSybaseMicrosoft AccessOracle E-Business SuiteOracleSQL ServerIBM Db2SAP HANATeradataSnowflakeDatabricksBigQueryAmazon RedshiftAzure SynapseMicrosoft FabricPostgreSQLMySQLMariaDBClickHouseDuckDBTrinoPrestoAmazon AuroraCloud SQLAlloyDBCloud SpannerAzure SQLSQLiteCockroachDBSingleStoreTiDBSupabaseNeonPlanetScaleIBM InformixIBM NetezzaSybaseMicrosoft AccessOracle E-Business Suite

Apache SparkApache HadoopApache HiveHBaseKafkaApache AirflowApache FlinkApache NiFiApache DruidApache IcebergApache HudiParquetAvroApache SolrApache CouchDBCassandraPulsarMongoDBScyllaDBCouchbaseDynamoDBCosmos DBFirestoreBigtableRedisElasticsearchOpenSearchNeo4jArangoDBInfluxDBTimescaleDBPrometheusRabbitMQNATSAmazon KinesisPub/SubAmazon S3Google Cloud StorageAzure Blob StorageHDFSApache SparkApache HadoopApache HiveHBaseKafkaApache AirflowApache FlinkApache NiFiApache DruidApache IcebergApache HudiParquetAvroApache SolrApache CouchDBCassandraPulsarMongoDBScyllaDBCouchbaseDynamoDBCosmos DBFirestoreBigtableRedisElasticsearchOpenSearchNeo4jArangoDBInfluxDBTimescaleDBPrometheusRabbitMQNATSAmazon KinesisPub/SubAmazon S3Google Cloud StorageAzure Blob StorageHDFS

SalesforceSAPOracle NetSuiteDynamics 365SharePointExcelGoogle SheetsSplunkInformaticaTalendMuleSoftdbtTableauPower BILookerGoogle AnalyticsStripeShopifyZendeskHubSpotJiraConfluenceGitHubGitLabQuickBooksXeroAirtableGraphQLOpenAPISalesforceSAPOracle NetSuiteDynamics 365SharePointExcelGoogle SheetsSplunkInformaticaTalendMuleSoftdbtTableauPower BILookerGoogle AnalyticsStripeShopifyZendeskHubSpotJiraConfluenceGitHubGitLabQuickBooksXeroAirtableGraphQLOpenAPI

Research

October 2 2026A Pareto frontier Database Reasoning model in 4B parametersOur first submission, Native mini, with only 4B parameters, scored 76.86% on BIRD's hidden test set.February 18 2026Native ranks #1 on Spider 2.0Native ranks #1 on Spider 2.0 with 96.53% accuracy, the first result to break the 95% barrier.

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