Invest in mojoh
An enterprise brain needs governed enterprise memory. mojoh builds it up from ERP programmes.
- Wedge:ERP implementations where we capture and reuse shared SI and programme memory instead of losing it in decks and spreadsheets.
- Moat:Competitors can copy a feature, but mojoh can ingest their whole app and information domain into a self-building enterprise knowledge graph. Customers consolidate work into one enterprise memory layer, every new app runs on the same models, and ripping mojoh out means rebuilding multiple tools and the graph behind them.
- Upside:Enterprise brain that helps prioritise team activity and boosts productivity by guiding and automating initiatives while cutting "work about work".
Why now?
Three shifts make mojoh's wedge urgent: cloud ERP programmes on the clock, a SaaS land grab to own the enterprise productivity stack, and a coming wave of autonomous agents that expect businesses to be machine-readable.
ERP mega-projects on the clock
Oracle, SAP and Microsoft cloud ERP moves are non-negotiable. They still rely on unguided solution configuration and hand-coded integrations and migrations that underwrite the SI "bums on seats" business model.
mojoh combines deep ERP knowledge and model-driven code printing with targeted AI to turn that work into captured SI skill encoded as information models, rules, mappings and guided flows you own. Those models print repeatable deliverables instead of manual one-offs, cutting cost and risk on critical programmes. Over time that positions mojoh as the trusted memory layer that new apps and workflows are built on as it grows into an enterprise brain.
Everyone wants to be your enterprise brain
Big SaaS vendors are in an arms race to be the place where work happens, building work graphs and "hubs" over external apps as their version of a brain. Teams still buy point solutions, so knowledge fragments and productivity quietly erodes in context switching and duplicate work. AI then has to reverse-engineer basic context.
mojoh steps in as a trusted knowledge layer where humans and AI agents share the same enterprise brain. Information and processes are structured so agents propose and execute work while humans review, override and steer. Schema-aware apps and AI-infused workflows are configured on top, keeping that collaboration grounded in one common model even as change across the enterprise accelerates.
Autonomous agents mediating enterprise work
Work is shifting from emails and people clicking through apps to agents proposing, negotiating and integrating within and between companies, with humans still in the loop for approvals and exceptions. To compete, a business has to expose what it knows and what it can do as governed, machine-readable capabilities instead of burying it in bespoke workflows and PDFs — without waiting on IT to build another interface each time.
mojoh organises knowledge and interactions as a flexible graph exposed through a unified, self-extending, self-describing API, so internal and external agents can safely plug in even as the business changes. As the agentic era dawns, those agents increasingly self-serve against this enterprise brain, orchestrating interactions while humans stay in control.
Wedge → Land → Expand
Wedge: ERP implementations
Automating ERP migrations, integrations and cutovers where we model the ERP solution, map to and from source systems and enterprise apps, and print migration, integration and test flows from those mappings as shared SI memory captured as ERP information models, mappings and flows you own, not your SI.
Land: Integrations, interfaces & change
Keep printing integration and interface flows and validating system health on the same models instead of commissioning new hand-coded pipelines for every change. When patterns evolve or new endpoints appear, you update the model once and reprint interfaces and flows across programmes, keeping existing tools in bi-directional sync on a shared model.
Expand: Enterprise brain
Extend these models and flows across more domains with new configured apps, skills and transformations, so motes and links accumulate into an enterprise brain. mojoh becomes the default place teams configure new apps and workflows, while existing tools stay connected on the same model and are gradually reduced or replaced over time.
If an enterprise brain existed, every large enterprise would want one.
mojoh's path is to build that brain incrementally from programmes and pain they're already funding.
We land in implementation work, become the memory layer for integration and change, and expand into the enterprise brain.
Monetisation & network effect
Monetisation
Every programme and design partner adds motes and links to the graph. Each new domain makes templates, flows and skills more reusable, so revenue comes from using that shared memory, not re-running the same project.
Platform + implementation work
Customers subscribe to mojoh as the delivery platform fortheir ERP programmes, with elfware and design partners delivering projects on top. Revenue today comes from this platform subscription plus implementation work: models, mappings, guided flows, printed code and data-quality flows for customer programmes.
Running on the brain: seats, APIs and integrations
Unified APIs, events and agent-friendly access over the graph so apps and agents call mojoh as their brain, not each other. Monetisation shifts toward recurring platform fees with a mix of human seats in the apps and virtual seats for agents and integrations, with higher tiers unlocking more active virtual seats and domains.
Skills, templates and apps on the brain
Model-driven templates, skills and apps built by mojoh and design partners all run on the same enterprise brain. Customers pay for higher-value skills and domain packs, and for additional virtual seats as more agents and automated workflows connect to the graph. Over time, revenue scales with the number of humans and agents using the brain, plus model compute for skills that call into AI.
The data network effect: what you’re betting on
Each design partner that extends the knowledge landscape enriches the shared graph and agentic reach. Each new transformation flow expands the tooling mojoh can access. The enterprise brain evolves, gets smarter and more irresistible with every small expansion. The same graph powers cross-domain insights, skills and agents that work across workflows, not just inside a single app — that’s the compounding data network effect you’re betting on.
Signals / traction
Early programmes on Oracle Retail and D365
80–90%
lead-time reduction
300+
pipelines in 2 weeks
< 1 day
time to value
3–10 days
toolchains delivered
Case studies
Oracle Retail CI/CD migration
Re-platformed 300+ pipelines from GoCD/BitBucket to Azure DevOps in 2 weeks with a single engineer.
Delivered at least 50% cheaper and faster (90% lead time reduction) than traditional methods.
D365 BC migration recovery
Project stalled after SIT due to data stream issues. In 2 weeks, deployed mojoh cell to automate raw-file → target loads with ~100 integrity checks.
Migration back on track, ≥6 months saved, with reusable templates for future Microsoft workloads.
Oracle Retail v11→v16 upgrade
3-day initial prototype, 2 weeks end-to-end automation. 100% reconciliation coverage.
Zero instability, full audit trails, no post-cutover issues.
Leadership
Operators who turn programs into products — faster, safer, governed.
Hamish Cameron
Founder & CEO
Unfair Advantage
- Founder-CEO who turns programmes into products: low-code, code-printing platforms + decision frameworks that standardise, accelerate, and de-risk delivery.
- Built a self-constructing knowledge graph and code-printed unified API enabling app delivery by config—add a schema, get an app; horizontal growth with near-zero incremental engineering.
- Capital-efficient: funded platform R&D through services, productising repeatable patterns into the core.
- Has undertaken virtually every role in an ERP implementation - programme director, solution architecture, technical build, data migration, integration, testing and support - giving first-hand insight into where time and money are wasted.
Proof Points
- • Delivered global transformation programmes; months → days build cycles.
- • Built the knowledge base + graph behind mojoh's unified schema.
- • Architected the code-printing pipeline → live unified API.
- • Led no-code page generation (Schema→API→Page) for consistent UX across types in real time.
- • Pre-mojoh ERP low-code proved the approach; mojoh removes those limits.
Madhu Krishna Murthy
Head of Delivery
Unfair Advantage
Drives faster, safer releases with low-code automation, governed playbooks, and tight product–engineering–customer alignment.
Proof Points
- • Built repeatable release frameworks standardising pilot→production across UI, schema, API.
- • Automated validation + cutover for zero-downtime deployments.
- • Scaled cadence; every release meets governance + adoption gates.
Heming Ni
Head of Application Engineering
Unfair Advantage
Built mojoh's unified API and no-code engine to design once, scale UI/UX everywhere — native pages for any knowledge type.
Proof Points
- • Implemented the unified API; every mote is addressable/composable via one interface.
- • Built the auto-page generator (config → native Blazor pages), no code required.
- • Eliminated redundant UI builds; consistent patterns; CI/CD on Azure/AWS.
Round & use of funds
Stage: Pre-seed
We're raising a focused round to turn early ERP programmes into a repeatable motion and deepen the mojoh graph and per-component helper model.
Use of funds:
- Product: expand and harden ERP templates and flows (starting with Oracle Retail and D365 Business Central), including migration, integration, data-quality and rollback tooling.
- Graph & helpers: deepen the knowledge graph and schema-aware UI components, so local helpers on any field can be more valuable as more domains are added.
- Go-to-market: land more design partners and SIs on ERP stacks like SAP, D365 F&O, NetSuite, Stibo and ServiceNow, and improve docs/onboarding so teams can build on mojoh with less hand-holding.
Details on round size and timing live in the deck — if this is your lane, request it or book a 20-minute intro.
Get in touch
If this resonates, we can go deeper in the deck.
General Inquiries
contact@mojoh.ioOffice
Level 1, 53 Walker StreetNorth Sydney, NSW 2060
Australia