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Core infrastructure

The multi-agent core for verified enterprise queries.

Avonsn Grid is the foundational layer beneath every Avonsn product. It uses a multi-agent architecture to turn natural-language prompts into code-verified data queries across your documents, systems, and databases — so answers are grounded, traceable, and run where your data lives.

From prompt to proof

Answers you can check, not just trust.

Most AI tools generate text and ask you to believe it. The Grid generates a query in code, runs it against your own sources, and returns a result that points back to exactly where it came from.

  • Code, not guesses. Requests compile to queries that can be inspected and audited.
  • Grounded in your data. Results cite the documents, systems, and records behind them.
  • Inside your estate. Inference and data stay on infrastructure you control.
  • No external dependency. Built on open-source models with no required outside API.
avonsn grid · session
# prompt "Which overdue invoices were flagged by compliance in the last 30 days?" # compiled, code-verified query grid.query(sources=["finance_db", "docs"]) .filter(status="overdue", flagged_by="compliance") .window(days=30) .verify() # result ✓ verified · 42 records · 3 sources cited · 0 egress
Capabilities

What the Grid does

A single agentic layer for document understanding, data intelligence, and workflow automation — configurable into domain-tuned agents for your sector.

Document understanding

Parse, structure, and reason over contracts, reports, records, and unstructured files across formats.

Data intelligence

Query structured and unstructured sources together and return grounded, traceable answers.

Workflow automation

Trigger and chain actions across your systems once a result is verified — not before.

Code-verified queries

Every request compiles to a checkable query, so answers are auditable end to end.

Multi-agent planning

A planner coordinates specialized agents for retrieval, reasoning, and verification.

Native integration

Connect your existing documents, systems, and databases through one agentic layer.

Under the hood

From a question to a verified answer.

A request becomes an answer through a chain you can audit — from a plain-language prompt to a cited, code-verified result.

01

Ask in plain language

Someone asks a question the way they would ask a colleague — no query syntax, no dashboard to configure.

02

Decompose with agents

A multi-agent planner breaks the request into steps and decides which sources and tools each one needs.

03

Generate a verified query

Agents express the request as code, not free text, so it can be checked before it ever runs.

grid.query(["emr","docs"]) .where(flagged=True) .verify()
04

Run inside your estate

The query executes across documents, systems, and databases where your data already lives.

05

Return a cited answer

The answer comes back grounded in your sources and traceable to each one — verifiable, not a guess.

Specification

At a glance

Deployment
On-premises · Private cloud · Air-gapped
Model core
Open-source large language models
Sources
Documents · Systems · Databases
Output
Cited, code-verified answers
Architecture
Multi-agent, agentic orchestration layer
Data residency
Stays inside your environment
Invitation only

Put the Grid behind your data.

Scope a private or air-gapped deployment of Avonsn Grid against your own documents, systems, and databases.