SkillForge · Planned 2027
Build the skills before you need them.
SkillForge is a planned capability planner that maps the skills an organisation has against the ones its strategy needs, then proposes the training and redeployment that closes the gap — so capability change does not default to redundancy.
- Inventory
- Gap
- Upskill
- Redeploy
- Align
- Stage
- Planned
- Portfolio bay
- Bay 08
- Focus area
- Venture Architecture & Product Design
- Part of
- The Collective Foundry
The problem
Why SkillForge exists.
When capability needs change, organisations often reach for redundancy and rehiring — losing institutional knowledge and paying to replace it. The missing piece is a clear view of the skills already in the building, what the strategy will actually require, and the shortest honest path between the two.
Who it's for
Executive, HR and transformation leaders planning a capability shift who need to know what their people can already do before deciding who they no longer need.
The opportunity
The market SkillForge is built for.
Learning and HR systems such as Workday and LinkedIn Learning already track training and completion. The gap is upstream: tying capability to a stated strategy, and treating redeployment as a planned option rather than an afterthought. SkillForge is positioned on that link, not on delivering courses.
The numbers
What the category is worth.
-
Workforce intelligence platforms
$1.7B (2026) → $3.9B (2031)
17.6% CAGR
Source: Mordor Intelligence
Corrected on verification. Planning had assumed a talent-intelligence category at $6.85B in 2026; no published source supports a figure near that, and estimates under that label span under $1B to over $11B depending on whether recruiting suites are counted.
-
Internal talent marketplace
$1.8B (2025) → $6.9B (2034)
16.2% CAGR
Source: Dataintelo
Overlaps the line above; shown separately, never added.
These categories overlap. They are shown separately as indicators of adjacent economic activity, and are never added together — a sum of overlapping markets does not describe a real opportunity.
Why now
The timing behind it.
- 01
Automation is changing which roles an organisation needs faster than its hiring can follow.
- 02
Replacing institutional knowledge is expensive and slow, and the cost is usually recognised too late.
- 03
Skills can now be inferred and matched well enough to make redeployment a planned option rather than a hopeful one.
What it does
The capabilities inside SkillForge.
Map skills against strategy
Catalogue the capability a team holds against what the plan requires, and surface the real shortages.
Upskilling pathways
Propose the training or internal mentoring that moves a person into a role the organisation is going to need.
Redeployment planning
Identify where existing experience transfers into emerging roles, keeping the knowledge that took years to build.
Strategic alignment
Track progress against the plan, so closing a skills gap is visible as strategic progress.
Where we start
The smallest valuable first step.
- Who it is for first
- Executive and HR leaders planning a capability shift
- The first thing it does
- Map the skills a team already holds against what the strategy requires, before any decision about who is no longer needed.
- Likely commercial model
- Per employee, annually, with a floor
- What has to be proven
- That skills inference is accurate enough that leaders act on it.
What makes it innovative
Why SkillForge is different.
Strategy is the yardstick
Gaps are measured against where the company is going, not against a generic competency library.
Redeployment before redundancy
A role under threat produces a transition path first, and a hard decision only if none exists.
Knowledge treated as an asset
Years of context are weighed as something to keep, not overhead to remove.
The usual way
Capability change handled as redundancy and rehiring, with institutional knowledge leaving the building.
The foundry way
A path from the skills a team already has to the ones the strategy needs, with redeployment considered first.
How it compares
SkillForge against the talent-intelligence platforms large organisations already run.
Every competitor cell below is drawn from that vendor's own official site on the date shown. Where a capability was not documented there, it is marked Not publicly verified rather than Not available — absence of evidence is not evidence of absence.
| Capability | SkillForge Not built — scoped for Wave 2 | Eightfold AI Enterprise platform | Gloat Enterprise platform | TechWolf Enterprise, typically alongside an existing HRIS | Fuel50 Skills Intelligence and Talent Marketplace, licensed separately |
|---|---|---|---|---|---|
| Knowing what you have Skills inferred from work, not self-reported Self-reported skills are the reason most skills data is unusable. | Planned Depth 0/5 · target 4/5 Parity target, not leadership. TechWolf does this as its whole product and Eightfold at enormous scale; being good enough to act on is the bar. | Advanced Shipped Depth 5/5 Validated, likely, and adjacent skills inferred per profile, weighted for recency | Included Shipped Depth 4/5 Jobs decomposed into tasks, skills and interests by its AI engine | Advanced Shipped Depth 5/5 The specialism: skills extracted from job descriptions, projects, training and feedback, with a per-employee timeline | Limited Shipped Depth 3/5 Maps existing titles and descriptions into its ontology — mapping rather than inference from work evidence |
| Knowing what you have Skills taxonomy and job architecture Without one shared vocabulary nothing downstream can be compared. | Planned Depth 0/5 · target 3/5 Deliberately not a target. Fuel50 employs I/O psychologists on its ontology; adopting a credible taxonomy beats authoring one. | Advanced Shipped Depth 5/5 Editable skill equivalences and groupings; role future-readiness assessment | Advanced Shipped Depth 5/5 Job architectures and skills inventories described as updating automatically | Advanced Shipped Depth 5/5 Harmonises conflicting labels across source systems into one vocabulary | Advanced Shipped Depth 5/5 5,000+ skills with proficiency levels and development actions, designed by I/O psychologists |
| Knowing what you need Company strategy to required capability The step that turns a skills inventory into a workforce plan, and the least served. | Planned Depth 0/5 · target 5/5 The wedge. No incumbent documents starting from a stated company strategy and deriving the capability it requires; every one starts from the people it already has. | Limited Shipped Depth 3/5 Enterprise-wide skills view exists; deriving it from a stated strategy is not documented | Included Shipped Depth 4/5 Mosaic decomposes high-priority initiatives into projects and matches people to them | Limited Shipped Depth 2/5 Workforce planning is addressed, largely by feeding other systems | Limited Shipped Depth 3/5 Feeds workforce planning; derivation from a stated strategy is not documented |
| Knowing what you need Capability gap against future need Distinguishes a map of today from a plan for what is coming. | Planned Depth 0/5 · target 5/5 Follows directly from the row above: a gap against a future plan, not against a current role description. | Included Shipped Depth 4/5 Skills missing for a role, plus which skills are rising or falling in the market | Included Shipped Depth 4/5 Skills Landscape shows employees where they fall short of their role | Limited Shipped Depth 3/5 Demand signal from labour-market data rather than an internal plan | Included Shipped Depth 4/5 Career paths show the skills needed to close the gap to an adjacent role |
| Closing the gap Personalised upskilling and development paths Whether a gap produces an action or only a dashboard. | Planned Depth 0/5 · target 4/5 Parity target. Fuel50 attaches development actions to every skill, which is a high bar already met. | Included Shipped Depth 4/5 Adjacent skills a person could acquire quickly | Included Shipped Depth 4/5 Course recommendations through existing LXP and LMS | Not publicly verified Depth 2/5 | Advanced Shipped Depth 5/5 Development actions attached to every skill at every proficiency level; AI Career Advisor |
| Closing the gap Redeployment and internal mobility Whether a person whose role is changing has somewhere to go. | Planned Depth 0/5 · target 4/5 Parity target. Gloat owns this category outright; the claim is redeployment reasoned from strategy, not a better marketplace. | Included Shipped Depth 4/5 | Advanced Shipped Depth 5/5 The category reference point — gigs, projects, mentoring and internal roles in one marketplace | Not publicly verified Depth 2/5 By design: it supplies skill data to the systems that do this rather than doing it | Advanced Shipped Depth 5/5 Adjacency modelling surfaces people who could grow into a role, across roles, gigs and mentorships |
| Doing it responsibly HRIS and work-system integration The practical barrier that decides whether any of this reaches production. | Planned Depth 0/5 · target 3/5 Deliberately modest, and the main reason this is Wave 2. Starting from an export rather than an integration is the plan. | Included Shipped Depth 4/5 Oracle HR partnership documented; full REST surface and MCP servers | Not publicly verified Depth 2/5 ATS integration is documented; HRIS depth is not | Advanced Shipped Depth 5/5 Workday AI Marketplace and SAP Store listings; ServiceNow, Teams and SharePoint; API-first | Included Shipped Depth 4/5 API, SSO and real-time sync; implementation documented as needing four HRIS fields |
| Doing it responsibly Explainability, consent and bias controls Software adjacent to employment decisions carries legal obligations, not just reputational ones. | Planned Depth 0/5 · target 5/5 Non-negotiable rather than aspirational. Software near employment decisions carries legal obligations, and only TechWolf evidences serious work here. | Not publicly verified Depth 2/5 Fairness is claimed in engineering material, but no bias-audit or accuracy methodology is published | Not publicly verified Depth 2/5 A Governance Engine is named on the current site but not documented in detail | Included Shipped Depth 4/5 Employee validation of inferred skills with manager visibility; Data Maturity Scan; EU AI Pact signatory | Limited Shipped Depth 3/5 Ontology stated as built to reduce duplicates and hidden bias; no audit methodology published |
Who each tool is actually best for
- SkillForge Not built — scoped for Wave 2
Not a buying option. Every row is target specification at an achieved depth of zero. Wave 2 rather than Wave 1 precisely because this category is mature and the integration burden is real.
- Eightfold AI Enterprise platform
Large enterprises wanting one deep skills graph behind hiring, mobility and workforce planning, benchmarked against external market data.
Source: Breaking down talent intelligence , TalentForge — apps and agents on the skills graph, REST API and MCP servers , Engineering — skill-phrase embeddings and recency-weighted matching
- Gloat Enterprise platform
Organisations whose first problem is moving people to work that matters now — gigs, projects and internal roles — rather than cataloguing skills.
Source: Talent Marketplace — projects, mentorship, internal opportunities, Skills Landscape , Workforce Intelligence — job architecture and skills inventories , Workforce Agility Platform — marketplace plus skills foundation
- TechWolf Enterprise, typically alongside an existing HRIS
Enterprises that already own an HRIS and want accurate skill data inferred from real work flowing back into it, rather than another destination system.
Source: Skills intelligence — inference from job descriptions, projects, training and feedback , Skill inference and harmonisation across systems , Workday AI Marketplace listing , EU AI Act — AI Pact signatory
- Fuel50 Skills Intelligence and Talent Marketplace, licensed separately
Organisations wanting a designed skills ontology with proficiency levels and development actions, and careers presented to employees as a map rather than a ladder.
Source: Skills Architecture — 5,000+ skill ontology with proficiency levels and development actions , Talent Marketplace — adjacency modelling across roles, gigs and mentorships , FAQ — integration, SSO, four HRIS fields to implement
Considered and excluded
- Workday and SAP SuccessFactors — Both are HRIS platforms with skills capability attached, rather than talent-intelligence products competing on it. TechWolf ships inside both, which is the clearer signal: for this comparison they are the system of record SkillForge would need to integrate with, not the product it would displace. Check current status
How this comparison is made
- Comparative claims follow ACCC guidance: they must be accurate, fair and supportable on reasonable grounds, judged on the overall impression rather than line by line.
- A competitor capability is only marked as present where its official site documents it. Where it was not documented the status is “Not publicly verified” — not “Not available”. This is a desk review of published material, not a hands-on benchmark.
- This is the most contested category in the portfolio and the matrix says so. Three of the four incumbents score 5/5 somewhere, and SkillForge targets parity rather than leadership on the rows they own.
- SkillForge is not built. Every one of its cells shows delivery “Planned” and an achieved depth of zero. A target beside it is the specification being built toward, never a claim about today.
- Depth scores (0–5) are our own analytical assessment of how deep a capability runs. They are not vendor-published figures, and they are separate from the evidence status beside them.
- Targets are published only for our own column and only with a stated reason. Two are deliberately low: the skills taxonomy, where adopting a credible one beats authoring it, and HRIS integration, which is the main reason this venture sits in Wave 2 rather than Wave 1.
- Nothing here makes employment decisions. Any recommendation is advisory, and the decision, the obligations and the accountability remain with people.
The approach
How we build it.
SkillForge is a planned platform for mapping and developing workforce capability against where a company is actually going. It inventories the skills a team has and identifies the gaps relative to the strategy.
Where a role is changing, it proposes upskilling paths and redeployment options rather than treating redundancy as the first answer — mapping transferable skills into the roles that are emerging.
The intent is that institutional knowledge is retained through a capability shift instead of being lost in it.
The outcome
What changes when it's in place.
- Capability change stops defaulting to redundancy.
- Institutional knowledge survives a shift in strategy.
- Training spend points at the gaps the strategy actually has.
What could go wrong
The risks, named.
-
Skills inference can be wrong, and a wrong inference about a person is not a rounding error.
Show confidence and evidence per inference, and require human confirmation before any decision.
-
HRIS integration is slow, political, and often the thing that kills the deal.
Work from a point-in-time export first, so value is demonstrable before integration is negotiated.
-
Software adjacent to employment decisions carries bias, privacy and employment-law exposure.
Recommendations only, never determinations. Decisions, obligations and accountability remain with people.
The open questions
What would need to be true.
-
Skills inference is reliable enough to act on.
How we would know: Validate inferred skills against managers’ own assessments before anything is recommended.
-
Employees trust the recommendations rather than fearing them.
How we would know: Track voluntary engagement with career paths, not mandated completion.
-
A mapped transition produces a demonstrable outcome.
How we would know: Follow redeployed people for a year against externally hired comparators.
A scenario
What this could become.
$15M–$30M
at $5M ARR, on 3–6× ARR
A scenario, not a valuation, a forecast or an offer. It states what the venture might be worth IF it reached the revenue shown, at multiples other private SaaS businesses have transacted at. Nothing here has revenue today.
Published private-SaaS transaction benchmarks, checked 2026-10-12: private deals broadly transact at 2–7× ARR, with medians around 3–5×. These come from advisory firms and marketplaces rather than audited transaction data.
How it fits the foundry
A venture, not a department.
SkillForge moves through the whole foundry — discovery, design, engineering, quality and launch — like every venture we build. It's most visible in Venture Architecture & Product Design, where its business purpose is sharpest.
- Discover
- Define
- Design
- Build
- Assure
- Launch
- Learn
- Scale