Real Growth Systems.
Real Outcomes.
How we've helped B2B SaaS and service companies build predictable revenue systems across growth stages.
US Student Housing Platform
How a US-based student housing platform built an entirely new AI traffic channel in 5 months—988 AI Assistant sessions, 943 from ChatGPT, and 11 ChatGPT-sourced inquiries through technical SEO, structured data and AEO/GEO.
Weak crawl efficiency, JavaScript-dependent internal linking, 100,000+ unoptimized images, and ineffective structured data left the platform invisible to AI answer engines like ChatGPT, Claude, Gemini and Perplexity.
UAE Fintech Brand
How a UAE-focused fintech brand built topical authority from the ground up with a pillar-first AEO/GEO strategy and became discoverable across ChatGPT, Perplexity, Claude and Gemini.
Limited visibility across AI search engines, no structured topical foundation, and a geographically restricted UAE market where broad global traffic volumes were not an option.
Revenue Nomad
How Revenue Nomad scaled from network-dependent referrals to $40k MRR closed in 3 months with Google Search, LinkedIn outbound, and SEO—building a repeatable multi-channel growth engine.
Business was 100% dependent on founder network and referrals. Over $6,000 spent on Google Ads historically with zero qualified leads. LinkedIn outbound attempts had failed. No structured funnel or repeatable growth process.
Anara Health
How Anara Health achieved 90% forecast accuracy and built a predictable enterprise revenue engine with revenue operations, sales enablement, and a 10-partner warm intro network in just 3 months.
Lean sales team handling multiple priorities. Sales materials needed refinement for enterprise stakeholders. Conversion funnel had clear interest but needed better follow-through and proposal velocity.
TheFEAST
How TheFEAST built a scalable revenue operations system in HubSpot, handling 100,000+ leads and automating 100+ workflows to support 7,000 customers across 5 geographies.
Rapid customer acquisition (~100 new customers per month) creating management complexity. Multiple products and geographies requiring intelligent lead routing with manual onboarding causing inefficiencies.
Primathon
How Primathon scaled from $1M to $2.5M in 24 months with outbound, partnerships, and inbound engine—without ads. Built a partner-led growth engine with 85 active partners while eliminating single-client risk.
Growth plateau & monthly losses: Revenue stuck at ~$1M annually for ~2 years with monthly P&L often negative. Lead drought with only 2–3 leads/month and one client accounting for ~50% of revenue.
Design Agency
How a Design Agency scaled from break-even to profitable by transforming from fixed-scope projects to retainers, achieving 23% conversion rate and 80% international revenue through strategic repricing and LinkedIn outbound.
Fixed-scope projects with scope creep destroying margins. Revenue per client remained low. Annual revenue roughly equal to costs with no profit. Price-sensitive client mix limiting pricing confidence.
MyPAT
How MyPAT scaled from zero to $1M in school bookings in 12 months without paid marketing, building product, sales, and demand-gen engines from scratch—despite a 3× price premium.
Greenfield in Schools: MyPAT was originally B2C and not built for school stakeholders. High price pressure at ₹3000/student/year (~3× competitors). Zero GTM muscle with no sales, process, or customer success in schools.
EasyEat
How EasyEat achieved massive organic traffic growth and reduced meta cost per lead by 60% through strategic SEO and content marketing—now generating 30% of monthly leads organically.
High cost per lead using paid channels. Lack of organic traffic initially with no existing content strategy or SEO structure. Needed sustainable leads without increasing ad spend.
Food Market Hub (FMH)
How Rapid Neuron unified and automated HubSpot CRM for Food Market Hub and EasyEat post-merger, saving $10,000/month and streamlining RevOps efficiency.
Two separate HubSpot CRMs (FMH & EasyEat) with inconsistent pipelines and data structures. Different lead processing logic and routing workflows between teams. Duplicate and overlapping leads due to shared ad sources.
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