XOOMAR
Software Studio

We built everything on this site. We can build yours.

The data hub, the 24/7 pipelines behind it, the AI agents, the free APIs: all in-house, all in production. That's the portfolio. We take on a small number of client builds where that experience transfers directly.

What we build

AI Agents & Automation

Agents that do real work in production, not chatbot demos. Our own filing agent drafts and validates SEC filings daily.

  • Document processing agents
  • Workflow automation
  • LLM integration with your systems
  • Human-in-the-loop review flows
See it live: our Filing Desk →Discuss your project →

Vision & Video Intelligence

Hours of footage reviewed in minutes. VLM-powered analysis that turns cameras and archives into structured, searchable events.

  • Video anomaly & safety-event detection
  • Insight/summary generation from footage
  • Visual QA and inspection
  • Media indexing and search
See real analysis output below ↓Discuss your project →

Data Engineering & Pipelines

24/7 ingestion, cleaning, and delivery. We run 18 public datasets around the clock for our own platform.

  • Ingestion pipelines with rate-limit etiquette
  • ETL/cleaning at millions-of-rows scale
  • APIs + dashboards on top
  • Monitoring and freshness alerting
Need a dataset, not a system? Data Refinery →Discuss your project →

Full-Stack Product Development

From empty repo to production: web apps with tests, CI, monitoring, and real deployment discipline.

  • Next.js/React products
  • Admin panels + auth + billing-ready structure
  • Performance and SEO baked in
  • Handover with docs
Discuss your project →
Vision & Video Intelligence

Hours of footage. Minutes to answers.

Below is an analysis of a 25-second warehouse clip: detected objects, timestamped events, safety checks, and a plain-language summary. Point the same system at your cameras and your archive stops being a write-only pile of video.

● Real model output

Footage · frame at 00:05.4

Warehouse footage frame at 5.4 seconds: an orange Toyota forklift with the operator visible, boxes stacked on wooden palletswarehouse · loading area00:05.4
forklift: Orange forklift with the word 'Toyota' on the side.boxes: Stacks of boxes on pallets.pallet: Wooden pallets with boxes on them.wires: Rolls of wires on the floor.
00:0000:0600:1200:1800:25

Detected events · model-reported

  • 00:00.0Forklift starts movingThe forklift begins to move from the loading dock.
  • 00:01.0Forklift drives forwardThe forklift drives forward to pick up a pallet of boxes.
  • 00:05.4Forklift driver seenThe forklift driver is seen operating the forklift.
  • 00:25.1Forklift stopsThe forklift stops after unloading the boxes.

Safety checks

  • ✓ The forklift driver is wearing a seatbelt.
  • ✓ The forklift is moving at a moderate speed.
AI summary, verbatim“The video shows an orange forklift operating in a warehouse, moving boxes from the loading dock to the storage area. The forklift driver is seen operating the forklift, and the operation appears efficient. Safety measures such as wearing a seatbelt are observed.”
Analyzed by our vision pipeline · 25s footage processed in 14s · footage: CC0 stock (Pexels)

What you get

  • Event feed with timestamps + severity

    Every clip becomes a structured stream of model-reported events you can filter, sort, and act on.

  • Searchable transcript/summary per clip

    Plain-language summaries indexed for search, so footage stops being a write-only archive.

  • Alert webhooks

    Safety events and anomalies pushed to your systems the moment analysis completes.

  • Weekly digest

    A recurring report of what your cameras saw: incidents, trends, and operational insights.

Discuss your footage →

Video is the cheapest sensor you already own. The analysis is what you're missing.

How we work

Fixed scope, fixed price, weekly demos

No open-ended agency hours. You talk to the people who build, and every engagement is quoted before work starts.

  1. 1

    Contact

    The form below or info@xoomar.com. A rough description of the problem is enough to start.

    You

  2. 2

    Scoping call (free, 30 min)

    We tell you honestly whether it's a fit, what a build looks like, and what we'd cut from the scope.

    Our desk

  3. 3

    Fixed quote + milestones

    Deliverables, timeline, price: all fixed before work starts. Scope changes get re-quoted, never absorbed silently.

    Our desk

  4. 4

    Build with weekly demos

    You see working software every week, not a status report. Course-correct early, not at delivery.

    Our desk

  5. 5

    Delivery + 30-day support

    Full source, documentation, and 30 days of post-delivery support. We can run it for you or hand it off clean.

    Our desk

31

datasets run 24/7

355+

tests in our own product

54M+

data points served

5+

years EDGAR parsed

We sell what we practice on ourselves.

Tell us about the build

A rough description is enough. We reply within one business day with next steps and a free 30-minute scoping call.

Prefer email? Write to info@xoomar.com works too. Same desk, same response time.

Frequently Asked Questions

How does pricing work?
Fixed quote after a free 30-minute scoping call. Deliverables, timeline, and price are agreed before work starts. If the scope changes mid-build, we re-quote before doing the work, not after.
How long does a build take?
Scoped per project at the quote stage. Small automations ship in weeks; full products take longer. You see working software in weekly demos throughout, so there are no surprises at delivery.
What stack do you work in?
TypeScript, Next.js, PostgreSQL, Redis, and Python where it fits. It's the same stack that runs this site in production, with 355+ tests and 24/7 pipelines.
Can you work with our data privately?
Yes. Client data never mixes with our platform. Separate infrastructure, separate credentials. NDAs are standard and you own all code and data at handover.

Data on this page is provided for informational purposes only and is not financial advice. See our editorial policy.