Making spacecraft operations easier to understand.

Orbivon is building AI-assisted software that helps space teams investigate anomalies, understand mission data, and make better operational decisions.

Explore Mission Intelligence Request early access

Early stage · Building the first product

Mission IntelligenceSystem connected

Mission overview

ORION-1

LEO · 541 kmPass 1847

03:17:42 · EVENT

Bus voltage−8.4%

Linked sources04

Analysis confidence87%

Demo missionEngineer review required

Current focusAnomaly investigation

Built forSpacecraft operators and mission engineers

Company stageEarly product development

FIRST PRODUCT

Mission intelligence for spacecraft teams.

Spacecraft generate enormous amounts of telemetry, logs, documentation, and operational data. Orbivon brings that context into one investigation workspace.

See the product

ORION-1Investigation workspace

Active investigation

Power subsystem anomaly

03:17:42 UTC

Likely causePower regulation instability

Confidence87%

Evidence linkedTelemetry · Logs · EPS-204

Next actionVerify solar-array orientation

We're starting with one problem.

Orbivon is intentionally starting narrow.

Our first focus is anomaly investigation — helping engineers move from raw mission signals to a clear, evidence-backed understanding of what happened.

From there, we want to build toward a broader intelligence layer for space operations.

Why we're building Orbivon

LONG-TERM DIRECTION

The intelligence layer for an increasingly complex space economy.

01Mission data

02Mission intelligence

03Fleet intelligence

04Predictive operations

05Autonomous systems

Autonomous systems represent Orbivon's long-term direction, not a capability available today.

Help shape the first product.

Orbivon is speaking with spacecraft teams about anomaly investigation workflows and the operational context they need most.

Early access details

ORBIVON MISSION INTELLIGENCE

Investigate anomalies with the full mission context in view.

A focused workspace for bringing telemetry, event logs, engineering documents, and operational context together around an incident.

First productIn developmentAI-assisted, engineer-led

PRODUCT VIEW

From scattered signals to a reviewable investigation.

Orbivon Mission Intelligence

Investigation workspaceAI analysis active

AI-assisted investigation

Power subsystem anomaly

03:17:42 UTC

Likely cause

Power regulation instability

Evidence

✓Bus voltage dropped 8.4%
✓Solar-array current dropped 11%
✓Battery temperature increased 3.1°C
✓Similar sequence found in historical incident

Confidence

87%Cross-source match

Recommended next step

Review EPS-204 and verify solar-array orientation.

WORKFLOW

Keep the engineer in control of the investigation.

01 / DETECT

Open the event window

Start with the alert, affected subsystem, and the surrounding mission timeline.

02 / CONNECT

Gather relevant context

Bring related telemetry, logs, procedures, and prior incidents into the same view.

03 / INVESTIGATE

Review the evidence

Inspect likely causes, confidence, and the source evidence behind each conclusion.

04 / DECIDE

Take the next informed step

Move from analysis to an operational recommendation that can be checked by the team.

WHAT IT CONNECTS

The information already used in mission operations.

01

Mission signals

Telemetry changes, alerts, and the sequence of events around an incident.

02

Engineering knowledge

Procedures, subsystem documentation, and relevant historical investigations.

03

Operational context

Spacecraft state and orbital context needed to interpret what the signals mean.

Have a difficult anomaly workflow?

Orbivon is looking for spacecraft teams willing to help shape the product around real operational work.

Early access details

TECHNOLOGY APPROACH

AI that works from mission evidence, not around it.

Orbivon is designing an intelligence layer that helps engineers navigate complex operational context while keeping evidence and human judgment visible.

Evidence-linkedHuman-in-the-loopBuilt for mission context

SYSTEM VIEW

A path from raw operational data to a decision engineers can review.

01 / Inputs

Mission data

Telemetry, logs, documents, incidents, and operational context.

02 / Context

Connected evidence

Relevant signals grouped around an event and linked back to their sources.

03 / Analysis

Mission intelligence

AI-assisted hypotheses, comparisons, confidence, and investigation paths.

04 / Output

Decision support

A reviewable explanation and recommended next step for the operator.

Built around engineering trust.

01

Evidence before answers

Analysis should expose the telemetry, documents, and historical patterns that support it.

02

Confidence should be visible

Operators need to see uncertainty rather than receive an unexplained conclusion.

03

Humans own the decision

The system assists investigation; the mission team reviews, challenges, and acts.

04

Start narrow, prove value

Orbivon is focusing first on anomaly investigation before expanding toward broader operational intelligence.

See the approach in a product workflow.

Explore the ORION-1 investigation workspace and the operational context it brings together.

View Mission Intelligence

COMPANY

Building an intelligent software layer for space operations.

Orbivon is an early-stage deep-tech company focused on the software and AI systems spacecraft teams will need as missions grow more numerous and more complex.

Based in Lucknow, IndiaFounded around a focused problemProduct in development

We're starting with one problem.

Our first focus is anomaly investigation — helping engineers move from raw mission signals to a clear, evidence-backed understanding of what happened.

We're honest about the stage we're in.

Orbivon is building its first product. We are not presenting a complete operating system for space. We are working closely with the problem, learning from spacecraft teams, and proving value one workflow at a time.

We are building for the longer horizon.

Mission intelligence is the starting point. Over time, the same foundation could support fleet intelligence, predictive operations, and eventually more autonomous systems.

DIRECTION

Focused now. Broader by design.

Now

Anomaly investigation

Build the first product around a specific, high-context operational workflow.

Expand how operational data, engineering knowledge, and prior decisions connect.

Long term

Intelligent space operations

Develop toward predictive and more autonomous systems only as the foundation matures.

Work close to the problem.

Orbivon is beginning with conversations with the spacecraft teams who investigate anomalies today.

Early access details

EARLY ACCESS

Help shape Mission Intelligence around real operations.

Orbivon is preparing a small early-access group for spacecraft teams that regularly investigate anomalies and want a more connected view of mission evidence.

Small design-partner groupBased in Lucknow, Indiacontact@orbivon.space

A GOOD FIT

Teams close to operational investigation.

01
Spacecraft operatorsTeams responsible for triage, diagnosis, and operational response.
02
Mission engineersEngineers who move between telemetry, procedures, logs, and historical incidents.
03
Early design partnersTeams willing to discuss current workflows and test a focused product as it develops.

CURRENT STATUS

Early-access conversations are opening in stages.

Orbivon is first learning from a small number of spacecraft teams before opening a broader request process.

Early-access inquiries are openTell us about your mission and anomaly-investigation workflow.

Start a conversation directly with the team. There is no automated waitlist and no promise of access before the first product is ready to evaluate.

Email contact@orbivon.space

CONVERSATION FOCUS

The operational details that matter most.

01

Investigation workflow

How incidents are triaged, assigned, investigated, reviewed, and closed today.

02

Mission context

Which data and documents operators need, and where that context is currently fragmented.

03

Trust requirements

What evidence, traceability, and human review an AI-assisted workflow needs to earn.

UPDATES

Notes from the work.

Product thinking, operating principles, and progress from Orbivon as Mission Intelligence takes shape.

Public notesEarly product development

8 October 2026Product direction

Why we're beginning with anomaly investigation.

The hardest part of an anomaly is rarely finding one signal. It is building a coherent picture from everything around it.

Telemetry, event logs, procedures, prior incidents, and mission context often live in different systems. Engineers move between those sources, reconstruct the sequence, and decide which evidence matters. That work is careful, time-sensitive, and difficult to compress into a generic software workflow.

Orbivon is starting here because the problem is specific enough to learn from honestly and important enough to demand engineering rigor. Mission Intelligence is being shaped as an investigation workspace—not an autonomous operator and not a chatbot beside a dashboard.

01

Connect the evidence

Bring the event window, related mission signals, engineering knowledge, and operational context into one reviewable view.

02

Show how conclusions are formed

Keep likely causes, confidence, and the supporting source material visible together.

03

Keep engineers responsible for the decision

Use AI to assist the investigation while the mission team reviews, challenges, and acts.

The next step is to learn alongside a small group of spacecraft teams before opening a broader early-access process. We will share more as that work becomes concrete.

LEGAL

Privacy.

How this public website handles information.

Information collected

This website does not currently include a contact form, account system, or analytics service. If you email Orbivon, we receive the information you choose to include along with your email address and other standard message details.

Technical requests

Like other websites, the hosting infrastructure may process standard network information needed to deliver the site, such as IP address, browser type, request time, and requested pages. This site also loads fonts from Google Fonts, so a visitor's browser may make a direct request to Google's servers.

Cookies and tracking

Orbivon does not set cookies or use advertising trackers on this website. Third-party infrastructure may apply its own technical policies when serving the site or fonts.

Early access

Information sent to contact@orbivon.space is used to respond to your inquiry and, when relevant, discuss early access or a potential design partnership. Please do not send sensitive mission, security, or proprietary operational data in an initial email.

Changes

This notice may change as the website and early-access process develop. The effective date above identifies the current version.

LEGAL

Website terms.

Terms for using this public Orbivon website and its product preview.

Informational website

This website describes Orbivon's direction and a product currently in development. It does not create a customer, partner, or advisory relationship, and it is not an offer or promise that a product or capability will be available on a particular date.

Illustrative product preview

The ORION-1 interface and mission data shown on this website are an illustrative product demonstration. They are not live spacecraft data, an operational mission record, or instructions for flight operations.

No operational reliance

Content on this website should not be used to operate a spacecraft, diagnose a real mission anomaly, or make safety-critical decisions. Mission teams remain responsible for their own engineering review and operational decisions.

Site content

Unless otherwise stated, the written content, interface concepts, and visual design on this website belong to Orbivon. They may not be presented as another organization's product or used in a way that suggests Orbivon's endorsement.

Availability and changes

The website is provided as available and may be changed as Orbivon's work develops. The effective date above identifies the current version of these terms.

Making spacecraft operations easier to understand.

ORION-1

Mission intelligence for spacecraft teams.

Power subsystem anomaly

We're starting with one problem.

The intelligence layer for an increasingly complex space economy.

Help shape the first product.

Investigate anomalies with the full mission context in view.

From scattered signals to a reviewable investigation.

Power subsystem anomaly

Investigation active

Event-window deltas

Relevant procedure

Correlated sequence

Orientation check

Keep the engineer in control of the investigation.

Open the event window

Gather relevant context

Review the evidence

Take the next informed step

The information already used in mission operations.

Mission signals

Engineering knowledge

Operational context

Have a difficult anomaly workflow?

AI that works from mission evidence, not around it.

A path from raw operational data to a decision engineers can review.

Mission data

Connected evidence

Mission intelligence

Decision support

Built around engineering trust.

Evidence before answers

Confidence should be visible

Humans own the decision

Start narrow, prove value

See the approach in a product workflow.

Building an intelligent software layer for space operations.

We're starting with one problem.

We're honest about the stage we're in.

We are building for the longer horizon.

Focused now. Broader by design.

Anomaly investigation

Mission intelligence

Intelligent space operations

Work close to the problem.

Help shape Mission Intelligence around real operations.

Teams close to operational investigation.

Early-access conversations are opening in stages.

The operational details that matter most.

Investigation workflow

Mission context

Trust requirements

Notes from the work.

Why we're beginning with anomaly investigation.

Privacy.

Information collected

Technical requests

Cookies and tracking

Early access

Changes

Website terms.

Informational website

Illustrative product preview

No operational reliance

Site content

Availability and changes