Navera provides a no‑code visual platform for building AI and data pipelines on Google Cloud. Users define required services in a drag‑and‑drop builder, and Navera automatically provisions the underlying infrastructure, generates IaC, and estimates costs, enabling teams to launch experiments or production workloads quickly without managing cloud resources themselves.
Funding
Funding not disclosed
Founders
Product
Problem
AI and data teams often spend excessive time configuring, provisioning, and managing cloud infrastructure for pipelines, which delays experiments and production deployments. Lack of cost visibility and the need for specialized IaC knowledge further complicate scaling and collaboration.
Solution
Navera offers a visual, no‑code platform that lets users declare the cloud services required for an AI or data application and automatically provisions a fully functional environment in Google Cloud. The platform provides ready‑made pipeline templates for common use cases—such as data ingestion, model training, and streaming analytics—and allows custom pipelines to be built by connecting services like Cloud Storage, Dataflow, BigQuery, Vertex AI, and Cloud Functions. Navera generates and manages the underlying Terraform and YAML behind the scenes, delivering secure, production‑ready infrastructure without manual IaC work. Built‑in cost guardrails estimate expenses before deployment and can enforce budget thresholds, helping teams avoid unexpected bills. Collaboration features let multiple users share, version, and reuse pipeline templates within a shared organization, streamlining reproducible deployments across projects.
Target Audience
Navera targets AI engineers, data engineers, and development teams that need to build, test, and run cloud‑based data and machine‑learning pipelines quickly, without deep infrastructure expertise.
Features
- Visual pipeline builder that maps service sequences (e.g., Storage → Dataflow → BigQuery → Vertex AI) and auto‑generates cloud resources
- Library of pre‑built pipeline templates for hobbyist experiments and production‑grade workloads
- Automatic IaC generation and management (Terraform/YAML) with no user‑side coding required
- Real‑time cost estimation and configurable cost guardrails to prevent budget overruns
- Secure deployment directly into the user’s GCP account using their credentials, with exportable Terraform configs for portability
- Team collaboration tools including role‑based access, shared template libraries, and versioning of pipelines
- Sandbox environment for safe testing of pipelines without connecting a personal cloud account