Advisory
Emerging Technology Strategy
AI Advisory
Connect emerging technologies to strategic problems and decide which developments deserve attention, experimentation or investment.
LEAF Capabilities
AI & Emerging Technology Capabilities
LEAF works across strategy, engineering and adoption. Advisory helps organizations understand what is changing and decide where it matters. Labs turns technology into working systems. Academy builds the capability required to use and sustain it.
Some problems sit naturally in one area. Others require strategy and implementation together. This map shows the capabilities we combine around the problem rather than forcing every engagement into the same service.
Advisory
understand and decide
Labs
prototype and engineer
Advisory + Labs
strategy with implementation
Academy
learn, practice, adopt
Start with the problem
You do not need to know which LEAF capability you need.
Start from what your organization is trying to understand, build or change. The capability map is there to route the problem, not to make you learn our internal structure first.
- We need to understand what technology will matter to us.Emerging Technology StrategyAdvisory
- We need better evidence about a market, competitor or technology landscape.Market Strategy & IntelligenceAdvisory
- We need AI on infrastructure we control.Confidential AIAdvisory
- We need intelligence from external or fragmented information sources.Intelligence UnlockedAdvisory
- We need our website to be understood by search engines and AI systems.AEO / GEO / AI SEOAdvisory
- We need people to ask questions across internal systems.Talk with Your SystemsAdvisory + Labs
- We need a business process to execute with AI where interpretation is required.AI AutomationAdvisory + Labs
- We need training data that is difficult, sensitive or expensive to collect.Synthetic DataLabs
- We need models to run close to where data is generated.AI on the EdgeLabs
- We need connected sensing or industrial data acquisition.Industrial IoTLabs
- We need our teams to understand and adopt the technology.LEAF AcademyAcademy
How the map works
Strategy, engineering and adoption are different jobs.
- AdvisoryUnderstand · Evaluate · Decide
- Use it when the primary question is what the organization should understand, evaluate or decide.
- LabsPrototype · Engineer · Validate
- Use it when the problem needs prototyping, engineering, integration or technical validation.
- Cross-engineStrategy + engineering
- Use it when the architecture and the implementation are inseparable.
- AcademyUnderstand · Practice · Adopt
- Use it when the organization needs the language, practice and skills required to adopt or operate the technology.
LEAF Advisory
- Emerging Technology Strategy
- Market Strategy & Intelligence
- Confidential AI
- Intelligence Unlocked
- AEO / GEO / AI SEO
Cross-engine: Advisory + Labs
- Talk with Your Systems
- AI Automation
LEAF Labs
- Synthetic Data
- AI on the Edge
- Industrial IoT
Products recurring problems become reusable products
LEAF Academy
Academy: the adoption and capability layer across both engines
- AI Literacy
- Emerging Technology Training
- Hands-on Adoption
- Reskill & Upskill
LEAF Advisory
Understand what is changing. Decide where it matters.
Advisory connects emerging technology with strategic and operational questions before an organization commits to a direction.
Advisory
Market Strategy & Intelligence
Technology & Market Intelligence
Map technologies, markets, competitors and vendors around a strategic question, with documented sources, assumptions and uncertainty.
Advisory
Confidential AI
Private & On-Premises AI
Design private AI architecture for workloads that need tighter control over where models run and where data is processed, with IT and security teams.
Advisory
Intelligence Unlocked
Decision Intelligence
Answer specific strategic questions using relevant authorized sources, AI-assisted analysis and analyst verification with findings traced to their evidence.
Advisory
AEO / GEO / AI SEO
Answer & Generative Engine Optimization
Improve how websites expose technical, content and semantic signals to search engines, answer engines and AI-oriented discovery systems.
LEAF Advisory
Advisory connects emerging technology with strategic and operational questions before an organization commits to a direction.
Advisory + Labs
Some problems need strategy and engineering at the same time.
These capabilities span both engines. Advisory contributes business framing, architecture and operating choices. Labs contributes prototyping, integration and implementation.
LEAF Advisoryframing · architecture · operating choices
Cross-engine capabilities
LEAF Labsprototyping · integration · implementation
Advisory + Labs
Talk with Your Systems
Enterprise RAG & AI Assistants
Design natural-language access across enterprise knowledge and systems with permissions, retrieval and evidence built into the architecture.
Advisory + Labs
AI Automation
AI Agents & Workflow Automation
Design business workflows combining deterministic logic, models, bounded agents, enterprise tools and human review.
LEAF Labs
Prototype it. Engineer it. Validate it.
Labs turns technology into working systems and products. These capabilities represent recurring areas of technical work behind what we build.
Explore LEAF Labs
Labs
Synthetic Data
Training Data Generation
Generate fit-for-purpose synthetic datasets when relevant real-world data is scarce, sensitive, difficult or expensive to collect.
Labs
AI on the Edge
Edge AI Engineering
Run and optimize AI models closer to where data is produced when latency, connectivity, privacy or device constraints make local inference useful.
Labs
Industrial IoT
Connected Sensing & IIoT
Design connected sensing and data-acquisition systems for industrial environments, from embedded devices and synchronized measurements to communication and integration.
When a problem repeats across organizations, Labs may turn it into a reusable product. Argo, Sigillum and Huntair SEO live in the product portfolio, not in this capability catalogue.
Explore LEAF Labs ProductsLEAF Academy
Technology becomes useful when capability reaches the people.
Academy is the adoption and capability layer across LEAF. It turns frontier knowledge into shared language, hands-on practice and internal capability.
Explore LEAF Academy
Academy
AI Literacy
AI Foundations for Teams
Shared language for leaders and teams on what AI can and cannot do, its limits, data, governance and adoption.
Academy
Emerging Technology Training
Technology Capability Building
Foundations in emerging technologies before they become everyday business infrastructure or an urgent decision.
Academy
Hands-on Adoption
Tools & Workflow Adoption
Workshops built around relevant tools, workflows and organizational problems, moving teams from explanation to direct use.
Academy
Reskill & Upskill
Internal Capability Programs
Tailored multi-session paths around the capabilities an organization wants to build internally.
How we combine them
Scout. Connect. Unlock.
Scout, Connect and Unlock describe how LEAF works; Advisory, Labs and Academy describe the kind of contribution. Each can take part at any stage.
Scout
Understand what is changing and where it may matter.
Connect
Combine the right capabilities around a concrete problem.
Unlock
Leave the organization with a new system, direction or capability it can actually use.
Advisory helps organizations understand, evaluate and decide around emerging technologies. Labs prototypes, engineers and validates systems and products. Academy develops the shared language and practical capability people need to adopt and operate technology effectively.
Both require strategic and architectural decisions as well as implementation. Advisory helps define the business problem, operating model and architecture; Labs can prototype, integrate and engineer the resulting system.
A capability describes an area in which LEAF advises, designs or engineers with clients. A product is a reusable system created by LEAF Labs after a recurring problem has been validated across multiple contexts. Argo, Sigillum and Huntair SEO belong to the product portfolio.
Start with the problem. A Scout Session is designed to map the relevant technologies, opportunities and constraints before deciding which capability or combination of capabilities should come next.
Yes. The taxonomy helps explain the expertise involved; it is not a boundary between teams. A real engagement may combine strategy, retrieval, automation, edge deployment, training or other capabilities where the problem requires them.
No. They describe complementary types of work, not a mandatory sequence. An engagement may involve one area or combine several depending on what the organization needs.
LEAF products are developed within Labs and have their own product pages. This page focuses on capabilities rather than product catalogue entries.
Not sure where to start?
Start with the problem, not the service.
A Scout Session maps the technologies relevant to your context, the problems worth exploring and the capabilities that may be useful next. You do not need to arrive with a predefined solution.