Client Engagement
ASX: BRN, OTCQX: BRCHF
From 100,000 models to a qualified shortlist in a single automated pass.
A multi-year AI, engineering, brand, web, and video engagement for BrainChip Inc.
BrainChip Inc. (ASX: BRN, OTCQX: BRCHF) is a publicly listed semiconductor company specialising in neuromorphic AI hardware. Their Akida processor delivers artificial intelligence at the edge with ultra-low power consumption, serving markets including automotive, industrial IoT, cybersecurity, and defence.
Lazyleaf delivered a multi-year engagement spanning six delivery areas: strategy and positioning, brand identity, website redesign, SEO, video production, and AI discovery.
44,116+
ML models evaluated
11x
Improvement in ML model discovery rate
799%
Increase in page views
216%
Increase in unique visitors
16%
Drop in bounce rate
22,058+
YouTube views
Services delivered
Challenge
Akida processor had applications across 6 verticals but lacked unified market positioning. Each vertical required distinct messaging while maintaining a coherent brand narrative.
Delivered
Market positioning across six target verticals, competitive analysis, audience segmentation, and messaging framework.
Challenge
Semiconductor sector defaults to technical language and conservative visual identity. Needed a brand that stood apart while maintaining credibility.
Delivered
Complete brand system: logo lockups, colour palette, typography, three iconography styles, product visualisation templates, imagery direction, brand guidelines. Developed "Robot Ken" mascot.
Challenge
Existing website did not serve three primary stakeholder groups: technical prospects, sales teams, and marketing.
Delivered
Full website redesign with stakeholder workshops, user journey mapping, product pages, and conversion-optimised CTAs.
Challenge
Minimal organic visibility, no SEO foundation.
Delivered
Technical SEO audit, on-page optimisation, keyword strategy, and content planning. SEO integrated at architecture level.
Challenge
Needed video content for industry awareness and investor community.
Delivered
Targeted video library: product showcases, market application films, and corporate communications. Industry-facing and investor-facing content.
Challenge
Engineering team needed to identify ML models compatible with Akida processor from 100,000+ entries. Manual assessment projected 8 to 12 months.
Delivered
Full repository ingestion, metadata vectorisation, and constraint-matching pipeline. Evaluated all 100,000+ models in a single automated pass.
If your organisation is facing a similar challenge, we should talk.
Get in touch