The AI infrastructure platform
for sensitive data

Pipelines, agents, and analytics. Built for compliance and trust.

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agnostic.tech

Active Agents

3 running · 12 completed today

revenue_analyst

Querying ClickHouse · DeepSeek V4

2.4s

ad_optimizer

Embedding search · Qwen3.8

890ms

report_generator

Generating PDF · Claude Opus 5

5.1s

Activity

14:32:01 revenue_analyst → SQL executed (2.4B rows, 8ms)

14:31:58 ad_optimizer → embedding search complete

14:31:45 report_generator → fetching data from ClickHouse

14:31:30 revenue_analyst → tool call: ClickHouse.query()

Notifications

Agent deployed

revenue_analyst v2.1 is live

2m ago

Pipeline warning

billing_events_audit retrying

5m ago

Model update

DeepSeek V4 available

12m ago

Announcements

Platform v2.4 Released

Today

New Model: DeepSeek V4

Yesterday

EU Region Maintenance

Aug 30, 02:00-04:00 UTC

Support

A complete platform for enterprise AI.

AI Agents

Deploy agents that query your data, generate reports, and take actions — with full tool use and memory.

Real-time Analytics

Sub-second queries on billions of rows. Dashboards, metrics, and alerts — all powered by ClickHouse.

Search & RAG

Hybrid vector + keyword search, knowledge ingestion, and retrieval-augmented generation for grounded responses.

Autoscale from 0 to 1000+ GPUs

Scale across clouds and regions in real time. Get the compute you need in seconds.

Full observability

Trace every agent action, query, and tool call. Logs, metrics, and dashboards included.

Agents

Agents that act on your data.

Deploy agents that understand your schema, write SQL, and return structured insights — not just text.

agent.py

from agnostic import Agent, ClickHouse

agent = Agent(

name="analytics",

llm="deepseek/DeepSeek-R1",

tools=[ClickHouse(cluster="prod")],

)

response = agent.run(

"What were our top revenue segments last quarter?"

)

# Agent writes SQL, executes on ClickHouse,

# and returns structured JSON insights.

Analytics

Built for speed, at any scale.

Sub-second queries on billions of rows. Real-time dashboards, alerts, and automated reporting.

events_daily

Live

Rows

2.4B

Latency p99

8ms

Cost

-60%

Ground agents in your knowledge.

Hybrid search combining vector similarity with keyword matching, so agents always have context.

Vector Hybrid BM25 RAG

search.py

def retrieve(query: str):

embedding = model.encode(query)

results = vector_db.search(

embedding,

top_k=10,

filter={"namespace"}

)

return rerank(results, query)

Customers

Trusted by data-driven enterprises.

AdTech

Real-Time Contextual Ad Engine

3x CTR uplift across 2B+ daily impressions with sub-30ms embedding-based matching.

3x CTR <30ms

SaaS

Global SaaS Platform

95% query time reduction and 70% cost savings migrating from Postgres to ClickHouse.

95% faster 70% savings

Blockchain

Stellar Blockchain

Real-time analytics across billions of transactions with sub-second query performance.

Real-time <1s

Security

Enterprise-grade security.

Built for regulated industries. Your data stays in your environment.

SOC 2 Type II compliant

End-to-end encryption

Multi-region deployment

Role-based access control

Audit logging and compliance

Ready to build AI your enterprise can trust?

Talk to us about your analytics, agents, or AI ambitions.

Get a Demo Talk to sales

The AI infrastructure platform for sensitive data