Agentic AI that turns impossible ideas into achievable ambitions

Agentic AI that turns
impossible ideas into
achievable ambitions

AI Advisory . | . Agentic Value Cases . POC & Technical Prototyping


AI Advisory . | . Agentic Value Cases . | . POC & Technical Prototyping




About Us



A lab purpose built for agentic innovation

A lab purpose built for agentic innovation

Combining AI, human insight, and real-world experimentation to go beyond what exists and turn bold concepts into unique working AI—fast





Sprint-First Model

– Delivery, not strategy
– Build to test & learn
– Structured for momentum


Reusable Components

– Modular architectures
– Agentic IP accelerants
– Real code outcomes





Hybrid Teams

– Human + AI collaboration
– Bespoke combinations
– Human in the loop decisions


Zero-to-One Focus

– New capability creation
– Proven fast with evidence
– Clarity on what comes next




A lab built for Agentic Innovation


AI, human insight, and real-world experimentation: turning bold concepts into unique coded AI



Sprint-First Model

– Delivery, not strategy
– Build to test & learn
– Structured for momentum


Reusable Components

– Modular architectures
– Agentic IP accelerants
– Real code outcomes



Hybrid Teams

– Human + AI collaboration
– Bespoke combinations
– Human in the loop decisions


Zero-to-One Focus

– New capability creation
– Proven fast with evidence
– Clarity on what comes next






'In-workflow' human in the loop focus

'In-workflow' human in the loop focus

From unobtainable optimsation to unprecedented value capture we re-imagine high-stakes, data rich workflows where AI uplift is real—and achievable.




Unstructured inputs

— Multi-modal translations
— Post-OCR variation
—Inputs AI can’t easily parse


Human-in-loop Expense

— Expert heavy workflows
— High friction/risk activities
— High validation need





No-API environments

— Data locked in web pages
— No reliable API path
—Time bound / high need state


Federated Complexity

— Trapped / Disparate IP
— Sensitive / Private IP
— Poorly unified vertical OS




'In-workflow' human in the loop


We re-imagine high-stakes, data rich workflows where people are key yet AI uplift is achievable.



Unstructured inputs

— Multi-modal translations
— Post-OCR variation
—Inputs AI can’t easily parse


Human-in-loop Expense

— Expert heavy workflows
— High friction/risk activities
— High validation need


No-API environments

— Data locked in web pages
— No reliable API path
—Time bound / high need state


Federated Complexity

— Trapped / Disparate IP
— Sensitive / Private IP
— Poorly unified vertical OS






Practical, transparent methodolodies

Practical, transparent methodolodies

From idea to impact—modular tiers of engagement explore, validate, and prototype AI-native systems to any taste, stack or framework.




AI Signal Discovery

Decode what’s possible, map internal readiness, and frame high-value use cases.


Technical POC

Design and build an agentic system with success criteria + next-step clarity.





Agentic Case Validation

Executive-ready business case with cost, metrics impact, ROI and architecture.


MVP Product

Turn a working POC into a real product—deployed with users and built to scale.




Clear, Practical Methodologies

Modular tiers of engagement explore, validate, and prototype AI-native systems to any stack.




AI Signal Discovery

Decode what’s possible, map internal readiness, and frame high-value use cases.


Technical POC

Design and build an agentic system with success criteria + next-step clarity.





Agentic Case Validation

Executive-ready business case with cost, metrics impact, ROI and architecture.


MVP Product

Turn a working POC into a real product—deployed with users and built to scale.






Contextual commercial alternatives

Contextual commercial alternatives

Commercials shouldn’t be the reason you don’t build something great. We offer flexible, practical ways to get moving—whatever stage you’re at.





Fixed Price AI POCs

Scoped builds with clear deliverables (i.e 4–6 week agentic prototypes)


Future Revenue Share

Great Idea? Limited Cash? Reduced upfront in exchange for a % of future rev share.





T&M AI Advisory

Directional or fractional support for evolving needs billed as you go


Build & License

Great Idea? No Cash? Pitch us and we may build it, own it and licence it back to you.




Broad Commercial Operating Models

Commercials shouldn’t be the reason you don’t build. We offer flexible ways to start.





Fixed Price AI POCs

Scoped builds with clear deliverables (i.e 4–6 week agentic prototypes)


Future Revenue Share

Great Idea? Limited Cash? Reduced upfront in exchange for a % of future rev share.





T&M AI Advisory

Directional or fractional support for evolving needs billed as you go


Build & License

Great Idea? No Cash? Pitch us and we may build it, own it and licence it back to you.




AI Advisory . | . Agentic Value Cases . | . POC & Technical Prototyping



Opportunity Spaces Uncovered



Areas we have Explored


Prof. Services

How can we help move valuable 'working' knowledge from the top of the pyramid?


Defense

How can we help mid-level leaders make faster, medium-risk decisions?


Product Dev

How can we add context to product decisions without more meetings?





RegTech

How can we enable self-service in expert-heavy compliance workflows


Private Equity

How can we reuse due diligence insights to unlock future value


Global MBA

How can we match students to jobs without strong articulation?





Tech University

How can we scale short courses without also growing TA headcount?


Gaming

How can we predict and influence demand for new games before launch?


EdTech

How can we help the differently abled learn in their own modality?




Global CPG

How can we capture expert knowledge before our senior talent retires?


Medical Device

How can we connect siloed experts across complex projects?


AdTech

How can we de-identify and re-identify data without using hashing?


Opportunity Spaces Uncovered


Prof. Services

How can we help move valuable 'working' knowledge down from the top of the pyramid?


Defense

How can we help mid-level leaders make faster, medium-risk decisions?


Product Dev

How can we add context to product decisions without more meetings?





RegTech

How can we enable self-service in expert-heavy compliance workflows


Private Equity

How can we reuse due diligence insights to unlock future value


Global MBA

How can we match students to jobs without strong articulation?





Tech University

How can we scale short courses without also growing TA headcount?


Gaming

How can we predict and influence demand for new games before launch?


EdTech

How can we help the differently abled learn in their own modality?




Global CPG

How can we capture expert knowledge before our senior talent retires?


Medical Device

How can we connect siloed experts across complex projects?


AdTech

How can we de-identify and re-identify data without using hashing?


AI Advisory . | . Agentic Value Cases . | . POC & Technical Prototyping




Example solutions

Aerospace

Modular
Lunar
Mapping

Challenge

How can we map lunar surface autonomously using multiple rovers, without relying on constant bandwidth or central control?

Solution

A federated agent system enabling each rover to map locally, share updates P2P, & collaboratively build a global view.

Key IP

- Federated simulation protocol

- Local agent autonomy

- Secure mesh communication

Case: Lunar
Mapping

Aerospace


Challenge

How can we map lunar surface autonomously using multiple rovers, without relying on constant bandwidth or central control?

Solution

A federated agent system enabling each rover to map locally, share updates P2P, & collaboratively build a global view.

Key IP

- Federated simulation protocol

- Local agent autonomy

- Secure mesh communication


Energy

Customer Document Intelligence


Challenge

How can we extract structured insights from high-volume, semi-structured regulatory documents with limited expert capacity?

Solution

A domain-specific agent powered by a custom visual-language model and human-in-the-loop tuning, transforming documents into structured intelligence.

Key IP

- Loop-based VLM fine-tuning

- Hybrid HIL feedback system

- Transparent audit logic

Case: User Intelligence

Energy


Challenge

How can we extract structured insights from high-volume, semi-structured regulatory documents with limited expert capacity?

Solution

A domain-specific agent powered by a custom visual-language model and human-in-the-loop tuning, transforming documents into structured intelligence.

Key IP

- Loop-based VLM fine-tuning

- Hybrid HIL feedback system

- Transparent audit logic


Maritime

Dynamic
Web-based intelligence

Challenge

How can we monitor and extract live data from dynamic websites without APIs or formal data access?

Solution

A browser-native “Scout Agent” that mimics analyst navigation (clicks, scrolls, forms) to surface real-time data streams.

Key IP

- Visual browser action agent

- Few-shot page inference

- Cache-to-API sync layer

Case: Web Based intelligence

Maritime


Challenge

How can we monitor and extract live data from dynamic websites without APIs or formal data access?

Solution

A browser-native “Scout Agent” that mimics analyst navigation (clicks, scrolls, forms) to surface real-time data streams.

Key IP

- Visual browser action agent

- Few-shot page inference

- Cache-to-API sync layer





IP & Tooling



IP & Tooling

Proprietary Agents





Functional
Agents

Task-specific logic — e.g. scoring mechanics, ingesting gameplay, simulating narrative.


Orchestration Agents

Coordinate between other agents and user workflows (like GTM flow or dev roadmap).





Simulation
Agents

Explore “what if” branches by tweaking inputs and evaluating predicted outcomes.


Collaboration Agents

Enable dialogic interface with users (brainstorm, feedback, roadmap planning).





Context
Agents

Maintain memory, parse multi-modal context, and enable coherent inference loops to bring human context to data


Scout
Agents

Used for GTM — scan web, databases, or internal stores for leads, matches, or opportunities.


Proprietary Agents





Functional Agents

Task-specific logic — e.g. scoring mechanics, ingesting gameplay, simulating narrative.


Orchestration Agents

Coordinate between other agents and user workflows (like GTM flow or dev roadmap).





Simulation Agents

Explore “what if” branches by tweaking inputs and evaluating predicted outcomes.


Collaboration Agents

Enable dialogic interface with users (brainstorm, feedback, roadmap planning).





Context Agents

Maintain memory, parse multi-modal context, and enable coherent inference loops to bring human context to data


Scout Agents

Used for GTM — scan web, databases, or internal stores for leads, matches, or opportunities.




Agentic Capabilities





Self-Improving Reasoning

Loop-based feedback incorporated into model and agent behavior


Graph-Based RAG Interfaces

Structured knowledge graph used to ground generation & logic




Predictive KPI Scoring AI

Predicts outcomes (sales, engagement, adoption) based on structured inputs


Multi-Modal VLM Inference

Ingests video, slides, PDFs, and converts into structured "memory"





Expert-trained Inference Models

Proprietary models trained on 'expert' heuristics, success criteria, and flows.


Federated Learning

Private model training across distributed clients/data


AI Capabilities





Self-Improving Reasoning

Loop-based feedback incorporated into model and agent behavior


Graph-Based RAG Interfaces

Structured knowledge graph used to ground generation & logic




Predictive KPI Scoring AI

Predicts outcomes (sales, engagement, adoption) based on structured inputs


Multi-Modal VLM Inference

Ingests video, slides, PDFs, and converts into structured "memory"





Expert Inference Models

Proprietary models trained on 'expert' heuristics, success criteria, and flows.


Federated Learning

Private model training across distributed clients/data




AI System Architecture





Vertical
OS

System of record and coordination layer for an entire industry vertical


Federated
Systems

Privacy-first design for sensitive domains like finance, health, or IP





Agent
Stack

Customised plug-and-play orchestration of agents, models, and tools


Secure Reasoning Trace

Trackable, explainable decision logs for agents





Loop-Based Learning

Feedback cycles that strengthen prediction or judgment over time


Inference Layer Interface

Embeds agents into user workflows without requiring new effort


AI Architecture





Vertical OS

System of record and coordination layer for an entire industry vertical


Federated Systems

Privacy-first design for sensitive domains like finance, health, or IP





Agent Stack

Customised plug-and-play orchestration: agents, models, tools


Secure Reasoning Trace

Trackable, explainable decision logs for agents





Loop-Based Learning

Feedback cycles that strengthen prediction or judgment over time


Inference Layer Interface

Embeds agents into user workflows without requiring new effort




Interface Components





Visual
Browser Use

Agents use browser automation to collect or verify structured info


GTM Engine Interface

Agent-driven outbound, qualification, and messaging flow for sales or research





Agentic
Simulation UI

Intuitive Agentic Interface to model different scenarios and reason design choices


Graph
Explorer

UI for navigating knowledge graphs, memory traces, or comparable examples





Collaborative Agent Chat

Agents that help plan, prioritize, and evolve reasoning in dialogue


Memory
Explorer

A visual interface for traversing the structured “memories” created by agents from prior sessions


AI Interfaces





Visual Browser Use

Agents use browser automation to collect or verify structured info


GTM Engine Interface

Agent-driven outbound, qualification, and messaging flow for sales or research





Agentic Simulation UI

Intuitive Agentic Interface to model different scenarios and reason design choices


Graph Explorer

UI for navigating knowledge graphs, memory traces, or comparable examples





Collaborative Agent Chat

Agents that help plan, prioritize, and evolve reasoning in dialogue


Memory Explorer

A visual interface for traversing the structured “memories” created by agents from prior sessions





Contact us


Contact us

Find your future

Find your future

Contact us today to talk about your impossible ideas, and how agentic AI can help you unlock your future

Contact us today to talk about your impossible ideas, and how agentic AI can help you unlock your future




Contact us

Find your future

Contact us today to talk about your impossible ideas, and how agentic AI can help you unlock your future




Aethena | Virtual Labs


Thankyou for your outreach!

Thankyou for your outreach!

We will be in touch shortly (usually within 24hrs) to set time to talk about your intentions / ambitions





Thankyou for
your outreach!

We will be in touch shortly (usually within 24hrs) to set time to talk about your intentions / ambitions