FAQs
For Founders
What verticals and stages does Arconic Capital back?
We lead pre-seed through Series A rounds in AI, ML, deep-tech and adjacent software sectors—especially B2B SaaS with defensible data or IP.What is your typical ticket size?
Initial cheques range AUD 200 k–1 M, with follow-on reserves up to AUD 2 M reserved per portfolio company.How do I get on your radar?
Email your 1-pager and deck to contact@arconiccap.com. In the cover note, highlight:Your team’s AI/ML credentials
Early traction (pilot customers, MRR, usage metrics)
Problem–solution fit and market size
What are your decision criteria?
Team: Track record in AI/ML or domain expertise
Tech: Proprietary models, data network effects or novel architectures
Market: > AU $500 M TAM, clear enterprise or B2B adoption path
Traction: Demonstrable pilot success or user growth
What does your investment process look like?
Screen (1 wk): Quick review of deck & one-pager
Diligence (2–3 wks): Technical deep-dive, reference checks, architecture review
Term sheet (1 wk): Negotiate valuation cap, pro-rata rights, standard VC terms
Close (2 wks): Legal docs (SHA, investor rights agreement), funds wired
Do you lead or co-lead?
We prefer to lead or co-lead—our follow-on reserves and network make us an active syndicate partner.Beyond capital, what support do you offer?
In-house ML engineering resources (prototype to production)
Strategic intros to pilots at Westpac, CBA and Asia-Pacific enterprises
Regular board/advisory sessions on scaling AI systems and go-to-market
What reporting and cadence do you expect?
Monthly KPI snapshot (ARR, active users, burn rate)
Quarterly board pack with product roadmap, hiring plan and metrics
Ad hoc check-ins on pivotal milestones (e.g., major customer launch)
How do you structure follow-on rounds?
We allocate ~50% of the fund for follow-ons, with tranche releases tied to agreed technical or commercial milestones.How can I streamline your due diligence?
Have ready: cap table (fully diluted), IP assignments, customer contracts, financial model and a scoped product demo or repo access.