AI for the Final Frontier
Thirteen AI systems spanning spacecraft operations, space weather, planetary geology, astrobiology, visualization, simulation, and cosmic investigation. One live today. Twelve building the intelligence layer for the next generation of space science.
Telemetry Anomaly Detection
AI that watches your spacecraft so you don't have to.
An 11-detector ensemble monitors spacecraft telemetry channels in real time. Statistical, machine learning, and deep learning models work together — catching anomalies that rule-based systems miss and explaining them in plain language.
Launch AppFeatures
- 11 detection algorithms: CUSUM, EWMA, Z-score, PELT, Isolation Forest, Variance, LSTM, TCN, TrendVelocity, MatrixProfile, Correlation Graph
- Weighted ensemble scoring — tuned per dataset, never one-size-fits-all
- Gemini AI plain-language anomaly explanations
- Bulk CSV ingestion + real-time telemetry API
- Webhook, email, and Slack alert delivery
- Alert suppression windows (planned maintenance)
- Hard channel limits (force-critical if value exceeds threshold)
- Guest mode — 3 free detections, no signup required
Space Debris & Conjunction Prediction
Know before you need to maneuver.
Conjunction alerts and collision risk dashboards for smallsat operators. Fuses public TLE and space-track data with commercial feeds, calculates probability of collision, and auto-generates maneuver suggestions with fuel cost estimates.
Features
- TLE-based conjunction analysis at configurable warning windows
- Probability of collision (Pc) calculation
- Automated maneuver recommendation (fuel cost vs. risk tradeoff)
- Integration with Space-Track.org and LeoLabs API
- Alert via webhook/email/Slack
- Collision risk history dashboard
Autonomous Mission Planning AI
Maximize every orbit.
AI-driven scheduling that ingests tasking requests, orbital mechanics, weather windows, and SLA constraints — then outputs near-optimal imaging schedules with KPI projections. Designed for constellation operators who need to maximise revenue per orbit.
Features
- Accepts tasking requests via REST API
- Orbital mechanics integration (SGP4)
- Cloud cover and weather constraint handling
- Multi-satellite constellation scheduling
- Revenue maximisation objective function
- Human-readable schedule export (PDF, JSON, iCal)
Ground Station Optimizer
Get every bit down, at the lowest cost.
Middleware that aggregates multiple ground network provider APIs, compares cost and availability, selects optimal slots, and automates pass handoffs. Reduces idle antenna time and manual scheduling overhead.
Features
- Multi-provider API integration (AWS Ground Station, KSAT, etc.)
- Automated pass booking and cancellation
- Cost vs. latency optimisation
- Pass handoff automation
- Telemetry download scheduling tied to anomaly detection
Satellite Image Analytics
Turn pixels into decisions.
Vertical-specific analytics APIs for agriculture, flooding, mining, and compliance — fast change detection sold as managed API or reports. Designed for Indian government agencies and SMB insurers who need actionable insights, not raw imagery.
Features
- Change detection API (field boundaries, flood extent, mine expansion)
- Agriculture yield estimation
- Urban flood risk mapping
- Insurance loss assessment reports
- ISRO + Copernicus data integration
- GIS-ready outputs (GeoTIFF, GeoJSON)
Digital Twin Simulator
Test your AI before it touches space.
Lightweight AI-centric testbeds for validating autonomy policies — sensor noise injection, actuator failure modes, hardware-in-the-loop simulation. Includes a certification checklist for operator acceptance testing.
Features
- Physics-lite simulation (configurable fidelity)
- Sensor noise and failure injection
- RL policy validation environment
- Hardware-in-the-loop (HIL) support
- Deterministic replay for debugging
- Certification checklist export
Space Weather & Solar Intelligence
Predict the storm before it hits your satellite.
Real-time solar flare, CME, and geomagnetic storm forecasting integrated directly into the anomaly detection pipeline. When a solar particle event is inbound, telemetry thresholds auto-adjust and operators are pre-warned — not post-alerted. Uses NOAA SWPC, ACE/DSCOVR L1 data, and NASA's DONKI event database.
Features
- NOAA SWPC solar flare and CME alert integration
- ACE/DSCOVR L1 real-time solar wind data feed
- NASA DONKI space weather event correlation
- Auto-linked to telemetry anomaly events (rule out solar cause)
- Radiation belt modelling (AE8/AP8, IRENE/AE9)
- Operator pre-alert: "CME impact in ~6 hours — adjust thresholds"
Genome & Astrobiology Analysis
AlphaFold meets the search for life beyond Earth.
Protein structure prediction and genomic analysis for space biology research. Uses ESMFold (Meta, MIT licence — fully open and commercial-ready) and AlphaFold2 to model how space radiation alters protein folding in extremophile organisms — directly informing biosignature detection strategies and planetary habitability assessment.
Features
- ESMFold (MIT) + AlphaFold2 (Apache 2.0) — self-hosted, commercial-ready
- Space radiation DNA and protein damage modelling
- NASA GeneLab integration — ISS microbiome datasets
- Extremophile genome cross-referencing (Atacama, Antarctic ice)
- Biosignature probability scoring for exoplanet candidates
- Comparative analysis with known life-supporting chemical conditions
Planetary Geology & Composition Analysis
Read the story written in rock, ice, and dust.
Hyperspectral mineral identification and geological analysis for planetary surfaces using open NASA PDS, CRISM, HiRISE, and Chandrayaan-2 IIRS datasets. Vision transformers trained on spectral data classify surface mineralogy, map water-ice deposits, and score in-situ resource utilization (ISRU) potential for Moon, Mars, and asteroids.
Features
- Hyperspectral mineral classification (CRISM, OMEGA, IIRS spectra)
- Water-ice deposit mapping from orbital spectral data
- ISRU resource potential scoring (metals, volatiles, regolith)
- Mars, Moon, and asteroid surface composition analysis
- Chandrayaan-2 IIRS + LRO + OSIRIS-REx dataset integration
- Geological age estimation via crater size-frequency analysis
3D / 4D Space Visualization Engine
See the universe across three dimensions and time.
A WebGPU-powered platform for rendering space phenomena in 3D and 4D (three dimensions plus time evolution). Integrates NASA SPICE kernels for physically accurate orbital mechanics, JWST/Hubble data cubes for volumetric nebula rendering, and IllustrisTNG simulation data for galaxy merger playback.
Features
- WebGPU volumetric rendering of nebulae, gas clouds, and shock fronts
- NASA SPICE-accurate orbital trajectory and attitude visualization
- 4D time playback: stellar lifecycles, galaxy mergers, orbital decay
- JWST and Hubble 3D spectral data cube rendering
- IllustrisTNG cosmological simulation integration
- Embeddable widget API for third-party mission control dashboards
Deep Mathematical Analysis & Modeling
Equations that explain the cosmos — derived from data.
A space physics computation engine combining symbolic mathematics, N-body simulation, and ML-driven equation discovery. Built on REBOUND (N-body), hapsira (orbital mechanics), and PySINDy / PySR (equation discovery from data) — letting researchers model phenomena from orbital resonances to spacetime curvature and discover physical laws directly from observations.
Features
- N-body simulation via REBOUND 4.6 — WHFast512 SIMD for planetary systems
- PySR symbolic regression: discover physical laws from raw observational data
- PySINDy sparse equation discovery from time-series data
- Orbital mechanics engine: hapsira (poliastro successor, MIT, actively maintained)
- Cosmological modeling: CLASS and CAMB integration
- Symbolic math interface with SymPy + LaTeX and PDF export
Cosmic Investigator
What happened here? The AI that reconstructs the past.
The master AI agent of the Dsremo platform — an orchestration layer that directs all other products to investigate a cosmic question. Feed it a supernova remnant, a tidally disrupted galaxy, an unexplained spectral signature, or a destroyed planetary body, and the Investigator builds a timeline, reconstructs the progenitor object, cross-references known physics, and delivers a structured evidence report with confidence scores.
Features
- Orchestrates all Dsremo products: telemetry, geology, math, visualization
- Supernova progenitor reconstruction via spectral decomposition
- Galaxy merger timeline reconstruction using IllustrisTNG merger trees
- Tidal disruption event and destroyed planetary body modelling
- Bayesian evidence weighting across multi-wavelength data sources
- Structured investigation report with ranked hypotheses and citations
Space Environment & Scenario Simulator
Run the experiment the universe won't let you run twice.
A physics-level simulation sandbox for any space scenario — planetary atmospheres, impact events, orbital dynamics, radiation environments, atmospheric re-entry, and solar system formation. Built on REBOUND, poliastro, and GMAT, with direct output to the 3D/4D Visualization Engine. If the Math Modeling product is the calculator, this is the laboratory.
Features
- Impact event simulator: asteroid/comet collisions, crater formation, ejecta fields
- Planetary atmosphere modelling: pressure, temperature, composition evolution
- Atmospheric re-entry physics: capsules, probes, meteors (heat flux, drag, ablation)
- N-body orbital scenario sandbox: test "what if" trajectories and resonances
- Radiation environment at any orbit: dose rates, SEP exposure, SAA passes
- Solar system formation: protoplanetary disk → planetary accretion over Myr
- Binary/trinary star system dynamics and habitable zone evolution
- Direct export to 3D/4D Visualization Engine for animated playback
Intelligence That Explains Itself
We integrate Google's Gemini to go beyond raw anomaly scores — giving operators context, root-cause hypotheses, and actionable next steps.
Gemini AI Explanations
LiveEvery anomaly gets a plain-language explanation. Not just "anomaly detected at t=145" but "Battery voltage dropped 18% below the rolling 6-hour mean, consistent with a partial solar panel failure or unexpected power draw from the propulsion system. Historical baseline: 3.7V ± 0.2V. Current: 3.04V."
Ask Your Telemetry
Q2 2026Ask natural language questions about your spacecraft data: "Were there any anomalies in channel EPS_V last week?" or "What's the baseline for our thermal sensors?" The AI has context about your specific satellite and its history.
False Positive Reduction
Q2 2026Gemini reviews flagged anomalies against historical patterns and operator context before surfacing alerts. Dramatically reduces alert fatigue by distinguishing genuine anomalies from routine operational events.
Multi-Satellite Correlation
Q3 2026When anomalies occur across multiple channels or satellites simultaneously, the AI identifies correlated events and traces them to a common root cause — solar particle event, thermal transient, ground segment issue.
Transparent. No Surprises.
From free guest access to enterprise SLAs. Start detecting anomalies today without a credit card — upgrade when you need more satellites or channels.
Guest
Try the anomaly detector before you commit.
- 3 detections per IP address
- CSV upload only
- All 11 detectors included
- No signup required
- View anomalies in dashboard
Starter
For university CubeSat teams and early-stage smallsat operators.
- 3 satellites
- 10 channels per satellite
- Real-time anomaly detection
- Email + webhook alerts
- Anomaly history (90 days)
- CSV + REST API ingestion
- Gemini AI explanations
- Standard support
Pro
For professional smallsat operators and constellation managers.
- 15 satellites
- Unlimited channels
- Real-time detection + bulk ingestion
- Email, webhook, Slack alerts
- Alert suppression windows
- Hard channel limits
- Full anomaly history (unlimited)
- Gemini AI root-cause analysis
- Priority support + SLA
- Custom detector weights
Enterprise
For agencies, prime contractors, and large constellation operators.
- Unlimited satellites & channels
- On-premise deployment option
- Custom SLA (99.9% uptime)
- RBAC + SSO (SAML/OIDC)
- Dedicated support engineer
- Custom model training on your data
- Multi-tenant isolation
- SOC 2 compliance (roadmap)
- ISRO / ESA data integration support
All prices in USD. Annual billing available (2 months free). Indian entities eligible for GST input credit.
Guest Mode — No Signup Needed
Anyone can upload a telemetry CSV and get anomaly detection results — no account required. You get 3 free detections per IP address to explore the engine.
To see anomaly details and history, create a free account. 3 detections resets to more when you upgrade to Starter or above.
Why Dsremo vs. Enterprise Tools?
| Feature | Dsremo | Enterprise Tools |
|---|---|---|
| Time to first detection | < 5 minutes | Weeks of integration |
| Pricing | From $299/month | $50k–$500k/year |
| Explainability | Gemini AI plain English | Score only |
| Smallsat support | Purpose-built | Edge case |
| API access | All tiers | Enterprise only |
| Guest / free trial | Yes, 3 detections, no signup | Demo calls only |
| On-premise option | Enterprise tier | Standard |