Granica Tech Stack

AI infrastructure for enterprise data efficiency and governance

Research Services Mountain View, California 11–50 employees Founded 2023 Privately Held

Granica is a data infrastructure and AI research company building systems for large-scale tabular data. The stack—Kubernetes, Spark, Flink, PyTorch, JAX, TensorFlow, Snowflake, Databricks, Iceberg, Delta Lake—reveals a deep backend platform play: they're engineering data compression, metadata management, and autonomous compute pipelines at petabyte-to-exabyte scale. The hiring profile (13 engineers, 3 researchers, minimal sales) and active project list (intelligent data layouts, adaptive engines, CI/CD optimization) show a product-led, research-heavy company focused on solving internal data efficiency problems before scaling outbound motion.

Tech Stack 29 technologies

Core StackKubernetes Apache Spark Apache Flink Java Rust Go C++ PyTorch TensorFlow Snowflake Databricks Python PySpark Iceberg Delta Lake Apache Airflow Terraform Prometheus Grafana Elasticsearch Datadog Hadoop Docker AWS CI/CD Parquet JAX GCP Azure

What Granica Is Building

◆Challenges

Redundant data
Inefficient data paths
Poorly organized datasets
Reducing storage costs
Reducing compute spend
Inefficient data pipelines
Inefficient data infrastructure
Energy waste
Improving data reliability
Building structure from scratch

▲Active Projects

Petabyte–exabyte scale data platform infrastructure
Global metadata substrate
Adaptive engines
Autonomous compute pipelines
Ci/cd pipeline optimization
Intelligent data layouts
People ops infrastructure
Organizational design and workforce planning
Table maintenance and data layout
Metadata, transactions, and schema evolution

Hiring Activity

Minimal20 roles · 2 in 30d

Department

Engineering

Research

Finance

Sales

Seniority

Senior

Staff

Mid

Lead

Manager

Notable leadership hires: Head of Finance

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About Granica

Granica builds infrastructure and AI models for managing enterprise structured data at scale. The company's core offerings address three layers: a "physical health" system (compression, layout optimization, redundancy removal), a metadata and governance substrate, and emerging Large Tabular Models that learn cross-column and relational structure. Founded in 2023 and headquartered in Mountain View, the 11–50-person team is structured around engineering and research, with active hiring in the United States, India, and Canada. Pain points they target include storage cost reduction, compute efficiency, data reliability, and managing poorly organized datasets at scale.

HeadquartersMountain View, California

Company Size11–50 employees

Founded2023

Hiring MarketsUnited States, India, Canada

Frequently Asked Questions

What tech stack does Granica use?

Kubernetes, Spark, Flink, Snowflake, Databricks, Iceberg, Delta Lake, PyTorch, JAX, TensorFlow, and cloud infrastructure (AWS, GCP, Azure). CI/CD, monitoring (Prometheus, Grafana, Datadog), and container orchestration are core.

What is Granica working on?

Petabyte-scale data platform infrastructure, intelligent data layouts, metadata management, autonomous compute pipelines, and Large Tabular Models. Projects focus on reducing storage and compute costs while improving data reliability.