Revenue is 3.2% above target this month
$4.7M vs $4.55M target. Driven by strong renewals in enterprise.
AtomOS connects to the systems you already run — sales, finance, ops, supply — watches what matters, and answers any question from the source of truth.
Today's briefing for Finance
Revenue is 3.2% above target this month
$4.7M vs $4.55M target. Driven by strong renewals in enterprise.
Cloud costs climbed faster than usage quality
GPU spend expanded ahead of the margin benefit it should create.
Gross margin stayed resilient as volume rose
The revenue mix is moving in the right direction.
How it works
AtomOS auto builds the metrics watchlist and monitors it continuously — flagging what is fine, what needs watching, and what needs action. Add your own metrics at any time.
Orders fulfilled on track
Top product inventory drifting
Supplier delivery delayed
Lead time was 2 days. Next delivery arrives after stock runs out.
Type the question you'd normally ask. AtomOS queries your connected systems and answers from the source of truth.
Why is the top product running low?
Supplier pushed delivery to 7 days. At current pace, stock crosses the reorder level before midnight.
Sales held at 172 units/day this week. Primary delivery is 7 days out — reorder level will be crossed tonight.
When something urgent breaks, AtomOS can act immediately using the rules you already approved.
Rush replenishment order sent
Backup supplier confirmed the order for the next dispatch window.
Priority shipment requested
The shipment was marked urgent to protect tomorrow's first shift.
Store lead and ops alerted
The team got the ETA and the recovery timeline in their inbox.
Who it is for
Owner
A clear view across sales, supply, customers, and risk. Calm when things are calm. Sharp when they are not.
Operator
AtomOS turns scattered metrics into one clear answer, then points to the next move instead of leaving you stuck in dashboards.
Team
Ask AtomOS directly. It queries your connected systems and comes back with an answer and the evidence. Share the read — no ticket, no wait.
Trust, privacy, and control
AtomOS runs where your data already lives — your cloud, your datacenter, your rules. Your choice of language model. The only thing that moves is the answer.
Your cloud
Deploy into the AWS, GCP, or Azure account your team already runs. Data stays inside your security perimeter.
On-prem
Fully isolated deployment for regulated industries and sensitive environments. Nothing leaves the building.
Your LLM
An AI model that runs only for you. Nothing shared with other customers. No training on your data. Ever.
Who built it
Amit Deshmukh
AI Engineer | Creator of AxCrew.dev & AtomOS | Founder @ Buddhic.ai
linkedin.com/in/amitdeshmukh ↗
Most AI-analytics products get one discipline right. AtomOS needed all three — and was built by someone with 20 years shipping AI systems, enterprise security, and data engineering in production.
Certified data engineer with years building data systems that handle real volume. The data layer is where AtomOS earns its trustworthiness.
Deployed AI workflows that added or saved tens of millions to the bottom line. Built agentic systems before agents were a trend.
Security audited Fortune 500 companies. Knows what breaks in regulated environments and what compliance actually requires.
Technology
Data layer
Compiles queries across your connected databases without custom resolvers or ORMs. A project the founder contributes to — and the data access engine inside AtomOS.
graphjin.com ↗AI layer
A TypeScript DSPy framework for production-grade LLM applications — type-safe, multi-provider, built-in validation. Actively maintained by the same team.
axllm.dev ↗License
AtomOS is released under Apache 2.0. Auditable, forkable, no lock-in — inspect exactly what runs in your infrastructure.
github.com/atom-os ↗See AtomOS in action
Bring the question you normally have to wait a week for. We'll show how AtomOS answers it from your connected systems, what else it would surface, and what automation can do for you.
See AtomOS in action