Analytics
Inputless analytics for operational decisions
Keeps reading your data, flags odd patterns, and suggests a next step. One picture for the desk.
Decision software
Technologyforoperationaldecisions
Inputless Analytics for energy, supply chain, and similar operations.
What we do
The feeds are already running
Talorik is decision software for operations. It reads the streams you already run, ranks what looks off, and proposes a next step for energy, supply chain, and similar desks.
01
Watch the feeds
Talorik keeps a live model of operations, supply chain, and risk. Weak signals show up without a query.
02
Ranked Courses of Action
You get ranked options so a lead can approve a direction from the shortlist.
03
Keep the trail
Each recommendation traces back to the raw feed. The model stays on your network, for the clock and for the audit.
Why it matters
On a live desk, the useful hour is before the incident is obvious. Talorik raises the break while there is still a decision to make, with a trail for later.
Where we operate
Intelligence for desks where delay is expensive
Energy
Planetary-scale operations and grid intelligence
Model generation, transmission, and market signals in one continuous view so teams see imbalance and risk before they cascade.
Energy01 / 05
Explainable AI
Why did the AI decide this?
Black-box scores do not survive a briefing. The XAI path walks a recommendation from the source record to a short narrative, so a lead can still own the call and show how they got there.
Trace the chain
Justified output
Strategic narrative + audit path
Source item
Structured feed record (e.g. GDELT event line or radar track update) ingested with timestamp and provenance.
gdelt:gcam_v1 · evt_hash 8f3a… · src CONFIRMED
Every stage remains inspectable: from the originating sensor or feed line to the wording your command staff sees. No unexplained jumps.
Inputless Analytics
A live model, then a ranked next step
Inputless Analytics flags anomalies and risk on the streams you already run. Reports remain available.
Risk on the line
Ops and supply chain
Deviations raised while there is still time to act
Shorter loop
Live support
A ranked option while the window is still open
Early flags
Pattern watch
Baselines and breaks without someone writing the query
One picture
Shared model
Same objects and links across systems
What you get
- • A live model of operations and supply chains
- • Anomalies and risks while they can still be fixed
- • Ranked next steps the desk can sign
- • One model across the sources you already run
When it helps
In these sectors the useful hour is the one before the incident is obvious. Last week's pack is history. The desk needs a shortlist now.
Sectors
Where delay is expensive
Energy, supply chain, utilities, defense, and related infrastructure. Speed and a paper trail both have to hold.
GRID REF // PRD 01
Vertical Solutions
Reference
For the work you actually do
Three product lines, each aimed at a different job: legal work, defense operations, and payments and fraud.
Same idea in each: keep reading the source material, map how things connect, and tell the operator what to check next. No extra dashboard to babysit.
Legal · Inputless Myotis
Builds a graph of norms, obligations, and facts from the case file, so contractual risk shows up before renewal or a dispute, not after.
Read moreDefense · Inputless AlcatoePuts orbital tasking, logistics, and indicators in one picture, with a look-ahead of up to seven days, so operators are not stitching feeds by hand.
Read moreCyber / Finance · Nycteris & MoneylessWatches large payment flows without lighting up every transaction. Built for teams tired of noisy alerts and hunting across ledgers.
Read moreHighlights
What we actually ship
Analytics, security, defence, and payments on the same stack. Your data stays where it is.
Cybersecurity
Security that includes how people are misled
Alcatoe helps a SOC catch disinformation, map how events connect, and explain the call, not only the alert.
Defence
Wargames and simulators, not slide decks
Exercises and multi-domain simulators for deception, speed, and the messy links between cyber, physical, and information operations.
Financial services
Payment routing that learns as it goes
Moneyless picks a provider, watches for fraud, and updates itself. Routing is not a static rule spreadsheet.
Analytics
Inputless analytics for operational decisions
Keeps reading your data, flags odd patterns, and suggests a next step. One picture for the desk.
Cybersecurity
Security that includes how people are misled
Alcatoe helps a SOC catch disinformation, map how events connect, and explain the call, not only the alert.
Defence
Wargames and simulators, not slide decks
Exercises and multi-domain simulators for deception, speed, and the messy links between cyber, physical, and information operations.
Financial services
Payment routing that learns as it goes
Moneyless picks a provider, watches for fraud, and updates itself. Routing is not a static rule spreadsheet.
GRID REF // COGSEC 01
Cognitive Security
Reference
The people in the loop, not only the endpoints
Analytics, SOC work, military wargames, and payments all still depend on people making a call. Those people can be hit with disinformation, deepfakes, social engineering, and influence ops, not only malware on a laptop.
Cognitive Security (COGSEC) is the work of studying and defending against attacks on judgment and cohesion. We do that with Inputless Alcatoe and with wargames that treat the opponent as someone who thinks, not a script in a binder.
Alcatoe · COGSEC for the SOC
Catch disinformation, deepfakes, and synthetic media. Map how events connect. Explain the call, not only fire an alert.
Read moreDefence · Wargaming & simulationPreparedness games (including Taiwan Digital Blockade-style scenarios), NATO Locked Shields-style live-fire, and simulators that push the OODA loop against an opponent that thinks back.
Read moreCyber · Technical researchMalware analysis, authorized exploit research, and investigations when the attack is both technical and aimed at judgment.
Read moreEnterprise · The human layerBEC, spear phishing, and influence ops work on urgency and framing. COGSEC is there so people still make a decent call under pressure.
Read moreGRID REF // FEAT 01
How the stack is put together
Reference
How the pieces fit
Classic analytics assume you already know what to look for. You write a query, wait for a chart, and hope it still matters. Talorik keeps reading the feeds and flags what looks off, so you are not stuck guessing the question.
Inputless Analytics is the name for that setup: data enters Talorik OS, goes through the ontology, the kinetic graph, and your own security boundary, and comes out as a recommendation someone can defend.
Problem · You have to know what to ask
Most analytics wait for someone to write the right question. If you miss that question, you miss the event. Dashboards catch up after the fact, and each system tells a slightly different story.
Solution · Inputless Analytics
The system keeps reading your feeds and points at what looks off. The Cognitive SDK watches the stream, the Kinetic Graph maps how things connect, and you get a suggested next step instead of another blank search box.
Signal path · From feeds to a call
Operational data goes into Talorik OS. The model sorts noise from signal and hands you a recommendation you can check against the original source.
Raw DataTalorik OSDecisions
Architecture · The Ontology
A live model of how your organization actually reasons: what an event means here, what people usually do next, and the extra types you need for your domain.
Architecture · The Kinetic Graph
Relationships between entities, not rows in a table. Twenty-two node types, thirty-plus relationship types, stored in Inputless DB. You see cause, not just that two numbers moved together.
Architecture · Data stays put
Processing happens inside your network. The model does not need to leave. PII is kept to a minimum. GDPR is a design constraint from the start.
GRID REF // DTWIN 01
Digital Twin
Capability
A live model of how the organization actually decides
Dashboards and asset replicas are useful. We also keep a working model of how the organization decides: how events are classified, how intent is inferred, and what a signal is allowed to mean under pressure.
That model lives in the Cognitive Substrate: an ontology with history. Links, cause, and context stay current so a Course of Action can be walked from feed to suggestion.
Ontology · Living model
A working model of how the organization classifies events and what it usually does next. Not a 3D copy of the plant. Events, intent, and meaning, kept current.
Read moreCausality · Mapped relationsLinks, cause, and domain context sit in a graph so a lead can see why a signal matters before they act on it.
Read moreSovereignty · On-perimeterThe model stays on your network. That is how the product is built.
Read moreOperations · Decision twinEnergy, supply chain, defence, finance: the twin feeds Inputless Analytics and Courses of Action. You do not need another dashboard farm.
Read moreSection 03
Engagement
We operate as Oaas: Operation as a Service. You get results after case evaluation, then a complete Decision Report that captures the full decision trail.
The pipeline below is how we move from intake to a shareable PDF, no hand-wavy “phase gates,” just a clear sequence you can plan around.
- Step 01
Case evaluation
Scope & fit
We assess context, constraints, and decision stakes so every engagement starts from a shared understanding of what “good” looks like.
- Step 02
Results shipped
Operations first
Operation as a Service means tangible outputs from the evaluation (clarity, findings, and directional results) before anything is wrapped in narrative.
- Step 03
Decision Report
Complete synthesis
We then produce a full Decision Report: rationale, trade-offs, options, and recommended authority, so decisions are defensible, not improvised.
- Step 04
PDF deliverable
Ready to share
The same report is delivered as a polished PDF for leadership, boards, and partners: one artifact from evaluation through final decision record.
Step 01
Case evaluation
Scope & fit
We assess context, constraints, and decision stakes so every engagement starts from a shared understanding of what “good” looks like.
Step 02
Results shipped
Operations first
Operation as a Service means tangible outputs from the evaluation (clarity, findings, and directional results) before anything is wrapped in narrative.
Step 03
Decision Report
Complete synthesis
We then produce a full Decision Report: rationale, trade-offs, options, and recommended authority, so decisions are defensible, not improvised.
Step 04
PDF deliverable
Ready to share
The same report is delivered as a polished PDF for leadership, boards, and partners: one artifact from evaluation through final decision record.
End state
One continuous thread: evaluate→ship results→Decision Report→PDF in your hands
Example
See a real Strategic Decision Report (controlled mushroom production, multi-room sensors, predictive cultivation intelligence) and the case analysis on Case Studies.
Open sample PDFGRID REF // AGENT 01
AI Agents
Capability
Agents that watch, reason, and suggest a next step
Agents here are workers with perception, memory, and a policy engine. They watch operational feeds and rank what deserves a look before anyone opens a query.
Built on the Cognitive SDK and the Substrate ontology, they turn live feeds into Courses of Action you can trace from signal to suggestion, under your rules.
Perception · Continuous sensing
Agents read operational feeds, logs, and signals without waiting for someone to frame the question. Context builds up before anyone asks.
Read moreReasoning · Inside your rulesA local reasoner with memory and a policy engine ranks options and keeps every suggestion inside the rules you set.
Read moreAction · Courses of ActionYou get ranked Courses of Action (COA). Leadership picks a direction. Nobody is babysitting discovery across six screens.
Read moreWhere they run · On your networkAgents run where the data lives. Nothing has to leave the building for the system to think.
Read moreInsights
Latest Articles
Notes on the stack, the graph, and running the model on your network.
Read All ArticlesGRID REF // RSC-01
Papers
Papers and notes. One read, no extra chrome.
Partners
Trusted by leading firms
Studio Errico
Criminal
Dendrotic AI
Studio Errico
Criminal
Dendrotic AI