Query Your Warehouse. Skip the Modeling.
Legacy BI forces you to build massive, brittle semantic models before anyone can ask a single question. Arcli grounds its AI directly in your raw metadata, enabling instant natural language querying from Day 1.
"You don't need a 6-month modeling project to find your active users."
The modern data stack became obsessed with modeling every possible edge case. Arcli believes in agility: query raw data safely using AI, and only formally model the metrics that prove to be systematically critical.
Deep Data Retrieval
How Arcli grounds AI in your exact schema to generate highly-optimized, dialect-specific execution logic.
Dynamic Semi-Structured JSON Extraction
Traditional semantic layers struggle with nested data, forcing you to explicitly model every JSON key. Arcli natively generates the specific extraction logic on the fly.
Allows Product Teams to instantly interrogate deeply nested telemetry arrays to verify a new release, bypassing the week-long queue for dbt model updates.
- Fully optimized for Snowflake SQL constraints.
- Bypasses semantic layer hallucinations via strict schema grounding.
-- Generated by Arcli AI Orchestrator
SELECT
f.value:event_type::STRING AS interaction_type,
COUNT(DISTINCT r.user_id) AS unique_active_users,
ROUND(AVG(f.value:latency_ms::NUMBER), 2) AS avg_latency
FROM telemetry.raw_events r,
LATERAL FLATTEN(input => r.payload:user_actions) f
WHERE r.ingested_at >= DATEADD(day, -7, CURRENT_TIMESTAMP())
AND r.app_version = 'v3.2.0'
GROUP BY 1
HAVING unique_active_users > 50
ORDER BY 2 DESC;Architecturally impossible to mutate your production data.
Arcli operates on a strict Read-Only security model. We generate the execution logic, but your warehouse executes the compute. Your data never leaves your VPC.
Decoupled Compute & Storage
Your compute stays in your Snowflake or BigQuery VPC. Arcli merely sends compiled SQL strings and receives aggregated result sets, maintaining strict data sovereignty.
No Modeling Lock-In
Because Arcli writes standard database dialects instead of proprietary languages, you retain complete ownership of your business logic. There is no proprietary "Arcli-ML" to learn.
Core Capabilities
The technological foundation behind the unified engine. Designed to completely bypass manual RevOps bottlenecks.
Metadata Vectorization
We embed your table definitions, primary keys, and constraint logic into a vector space, allowing the AI to mathematically navigate your relational model without a predefined "Explore."
Deterministic Query Planning
Arcli builds an Abstract Syntax Tree (AST) to validate every join path, preventing cartesian explosions and blocking table hallucinations before they hit your compute budget.
Elastic Metric Governance
Instead of thousands of lines of LookML, define core KPIs (e.g., "MQL") in plain English. Arcli injects these deterministic definitions into generated SQL at compile time.
Expert Insights
Everything you need to know about implementing Arcli's engine into your stack.