FULLSTACK CONTEXT
GOLDSTANDARD
Pipelines at Peak Performance.Accelerate your AI strategy with precision. Clean, enrich, embed, and deploy scalable workflows — all in one low-code platform built for enterprise success.
Effortless Data Transformation for Engineers
From messy to structured—in minutes. Gawx.ai streamlines the way you clean and prepare data, no matter the format. Import raw files like .csv, .json, .tsv, and (soon) .pdf, then transform them using natural language or switch seamlessly to SQL and Python when needed.
Built for speed and flexibility, Gawx.ai helps you focus on what matters—insights, not wrangling.
Transform Data into Intelligence
Generate high-quality embeddings and metadata, fast. Gawx.ai converts your raw or structured data into production-ready vector embeddings—perfect for semantic search, recommendations, RAG, and other AI workflows.
Define custom metadata schemas to match your domain, or let our AI generate them automatically. Built for speed, scale, and flexibility, Gawx.ai helps technical teams ship smarter AI-driven features, faster.
Measure What Matters
Evaluate data, models, and LLM outputs with precision. Gawx.ai gives you built-in tools to assess the quality of your data pipelines and AI outputs. Run automated evaluations, integrate custom test suites, or incorporate human-in-the-loop reviews—all in one place.
Whether you're fine-tuning models or validating LLM responses, Gawx.ai helps you iterate faster with confidence.
OPTIMIZE YOUR CONTEXT PIPELINE
Build For Developer
GAWX Embed Pipeline Built for Scale, Ready for Volume
The GAWX Embed Pipeline is purpose-built to help technical teams handle growing volumes of raw, unstructured data. It automates the path from messy files to clean, metadata-rich vector embeddings—ready for production, and ready to scale. Whether you're embedding thousands or millions of documents, GAWX adapts to your workflow with speed, consistency, and reliability.
Instant Embeddings
Accelerate time to value. With high-throughput processing, teams can push large volumes of data and generate embeddings in seconds—keeping projects moving, not waiting.
Auto-Scaling Performance
No need to manage infrastructure or monitor usage spikes. The pipeline automatically scales with your workload so your engineers can stay focused on building, not babysitting resources.
Built for Reliability
Designed with production in mind. GAWX ensures that every pipeline run is consistent, resilient, and fully aligned with your team’s uptime expectations.
import os
from gawx.pipeline import Pipeline
from gawx.apis import create_data_source
os.environ["GAWX_ACCESS_TOKEN"] = "<GawX Access token>"
# 1. upload files
files = ["file1.csv", "file2.csv"]
data_sources = []
for file in files:
with open(file, "rb") as f:
data_source = create_data_source(name=file, description=file, type="files", files=[("files", f)])
data_sources.append(data_source.id)
# 2. run pipeline
pipeline = Pipeline("1234567890")
response = pipeline.run(data_sources)"Build your own private
Model Context Protocol.
Gawx delivers secure,
internal, AI memory..."
internal Model Context Protocol
secure connection
Protect the Vibes: Govern Every AI Query with Secure MCP
Gawx secures the Model Context Protocol (MCP) — As AI adoption accelerates, controlling how AI accesses and uses data is more important than ever. Gawx secures the Model Context Protocol (MCP), the internal memory layer that powers your AI, giving you full control over every AI query.
With Gawx, you can run private, isolated MCP instances tailored to your teams or clients. This ensures your AI memory stays secure, aligned with your data policies, and fully auditable.
Secure by Design
Prevent over-privileged access, control how LLMs interact with your data, and gain full visibility into every AI query and interaction.
Internal & Isolated
Deploy your own MCP layer within your infrastructure—aligning AI memory with your policies, identity governance, and data boundaries
{
"mcpServers": {
"gawx-mcp-server": {
"command": "npx",
"args": [
"mcp-remote",
"http://mcp.gawx.ai:9000/mcp/",
"--header",
"Authorization: Bearer <X-MCP-Token>"
]
}
}
}Ready to build the future of AI context?
Let’s explore how Gawx can simplify your data pipelines, deliver real-time contextual
intelligence, and manage internal MCP servers for your AI agents.
Experience these powerful features now: