A detached-系统s AI platform that de实时rs predictable, subscription-based intelligence to 马来西亚's 1.2M SMEs while keeping data on-premise, in-jurisdiction and PDPA-compliant.
操作员-built and already proven in RM15M+ of internal retail operations. Raising RM2M seed to scale from internal deployment to a national SME platform.
AI builds. 系统 run. 知识 stays local. 价值 compounds in 马来西亚.
We sell outcomes, not 令牌 a flat monthly subscription replacing unpredictable per-token AI pricing, with full data sovereignty for 马来西亚n 企业s.
One screen for bankers and VCs the model in a single view. All figures are TARGET projections unless labelled otherwise.
Recurring MRR RM148,668 → ARR RM1,784,016 · 搭建 RM294,000 · 服务 RM774,000 · 总计 年份-1 RM2,852,016. 目标
传统AI creates a paradox: the more SMEs adopt it, the more it costs and the more control they lose.
A three-layer platform serving different deployment needs. 独立式 AI infrastructure built from 实时 operators and real workflows. The operating model is the 效率飞轮 (分段 → 智能路由 → Distillation → 分离式系统 → 私密 基础设施). 当前 production 层 are 实时 for suitable workloads; larger-scale items are 第二阶段 / funding-dependent. See the flywheel →
核心 subscription for AI orchestration, model management and workflow automation, with a VPN backbone for secure on-premise deployment.
API 附加组件，支持与现有系统、自定义工作流和第三方应用集成。基于使用量的 AI 积分。
行业-specific applications built on NeuralOps, starting with financial-services compliance for 马来西亚.
Three-tier subscription with transparent add-ons. All prices are TARGET.
RM100
每月 · 1–2 个用户
RM299
每月 · 最多5个用户
RM1,000
per month · up to 20 users
| Add-on | SME | 商业 | 企业版 |
|---|---|---|---|
| API add-on | RM50/mo | RM150/mo | RM500/mo |
| 设置费 | RM300 | RM1,000 | RM5,000+ |
| AI credits (10K) | RM30 | ||
| AI credits (50K) | RM120 | ||
| AI credits (100K) | RM200 | ||
All prices are TARGET. 定制 development is NOT included in any plan and is billed separately. 设置费s and usage charges apply as listed.
平台 + API + 垂直 SaaS + 服务 diversified, recurring-first model.
| 流 | MRR (RM) | ARR (RM) |
|---|---|---|
| 平台 subscriptions | 100,880 | 1,210,560 |
| API add-ons | 21,200 | 254,400 |
| Usage overage (10%) | 10,088 | 121,056 |
| 专用部署 | 6,000 | 72,000 |
| 银行对账编译器 (110 users) | 5,500 | 66,000 |
| 街边账户 (50 users) | 5,000 | 60,000 |
| 总计 Recurring | 148,668 | 1,784,016 |
| 类别 | 月度（RM） | 年度（RM） |
|---|---|---|
| 月度服务收入 | 64,500 | 774,000 |
| 设置费（一次性） | 294,000 | |
| 经常性收入 | 148,668 | 1,784,016 |
| 总计 年份-1 营收 | 213,168 | 2,852,016 |
All figures are TARGET projections. 实际 results depend on customer acquisition, pricing validation, and deployment execution.
500 NeuralOps customers in 第1年. 目标
RM100/月 · 1–2 users
MRR contribution: RM35,000
RM299/月 · up to 5 users
MRR contribution: RM35,880
RM1,000/月 · up to 20 users
MRR contribution: RM30,000
总计 平台 MRR: RM100,880 目标
总计 平台 ARR: RM1,210,560 目标
500 → 8,000 NeuralOps customers · RM88.4M 5-year combined revenue target.
| 指标 | 第1年 | 第2年 | 第3年 | 第4年 | 第5年 |
|---|---|---|---|---|---|
| NeuralOps 定制ers | 500 | 1,000 | 2,000 | 4,000 | 8,000 |
| Recurring 营收 (RM) | 1,784,016 | 3,568,032 | 7,136,064 | 14,272,128 | 28,544,256 |
| 设置费（RM） | 294,000 | 588,000 | 1,176,000 | 2,352,000 | 4,704,000 |
| 服务 (RM) | 774,000 | 1,548,000 | 3,096,000 | 6,192,000 | 12,384,000 |
| 总计 营收 (RM) | 2,852,016 | 5,704,032 | 11,408,064 | 22,816,128 | 45,632,256 |
定制er growth assumes 100% YoY increase. 垂直 SaaS scales linearly with customers. 服务 and setup fees scale proportionally. 预测
VPS + GPU H200 RM4.98M over 5 years. 估算
| 年份 | 定制ers | VPS 成本 | GPU 成本 | 总计 Infra | 成本/用户 |
|---|---|---|---|---|---|
| 第1年 | 500 | 50,000 | 264,000 | 314,000 | 628 |
| 第2年 | 1,000 | 100,000 | 264,000 | 364,000 | 364 |
| 第3年 | 2,000 | 200,000 | 528,000 | 728,000 | 364 |
| 第4年 | 4,000 | 400,000 | 792,000 | 1,192,000 | 298 |
| 第5年 | 8,000 | 800,000 | 1,584,000 | 2,384,000 | 298 |
| 总计 | 1,550,000 | 3,432,000 | 4,982,000 |
VPS: RM100/user/year. GPU H200 (4× H200 141GB) server lease: ~RM22,000/月. Each server serves ~1,500 customers for LLM inference. Initial GPU servers funded from RM500K infrastructure allocation. 估算
基础d on target pricing final unit economics require validated commercial data.
RM202
月份ly blended (平台 + API)
估算
RM8.33
每用户月度基础设施成本
估算
To 验证
推理, acceleration, peak load
估算
To 验证
ACV − VPS − GPU − support − direct
估算
| 指标 | 价值 | 状态 |
|---|---|---|
| 混配ed ARPU (平台 + API) | RM202/月 | 估算 |
| 每用户VPS成本 | RM8.33/月 | 估算 |
| 每用户GPU成本 | To Be 已验证 | 估算 |
| 总计 infra cost per user | VPS + GPU + support | 估算 |
| Gross 利润率 | To Be 已验证 | 估算 |
| CAC | To Be 已验证 | 估算 |
| LTV | To Be 已验证 | 估算 |
最终单位经济模型将根据已确认的定价、VPS配置、GPU推理、支持开销和留存数据计算。
内部 零售 案例研究 已验证 historical data, clearly separated from external AI revenue.
AINNA's NeuralOps platform was developed and proven within the founding team's own retail operations managing 80,000+ SKUs across 30 激活 stores on Shopee, TikTok and Lazada, processing 9,000+ 月订单量.
导入ant: These are AINNA's own operational data, NOT external customer revenue. 零售 revenue and AI platform revenue are separate streams.
智能路由 demonstrated an 87% token reduction vs naive full-LLM routing in internal benchmarks an internal operational result, not a universal industry claim.
基础d on AINNA's internal operational workload. 结果s may vary across models, infrastructure and use cases.
巨大的TAM，且有清晰的获取路径。第5年目标中SOM仅占SAM的6.7%。
1.2M
SMEs in 马来西亚
120K
Tech-ready SMEs (10% of TAM)
8,000
第5年目标（占SAM的6.7%）
基于数据主权、定价模式和运营商信誉构建的结构性差异化。
目标ing 500 customers in 第1年. 目标
In-house sales team targeting 马来西亚n SMEs through events, referrals and digital outreach focused on retail, logistics and financial services.
科技 consultants, 系统 integrators and industry associations as reseller and referral 合作伙伴 under a revenue-share model.
面向中小企业层的自助式接入、免费演示和概念验证部署，在转化前展示价值。
从共享VPS到专用数据中心的三阶段策略。 目标
第1年 · 500 customers · RM2M funding
第3年 · 2,000 customers · Self-funded
第5年 · 8,000 customers · 市场 leader
RM2M for 10% RM18M pre-money, RM20M post-money.
ASK
RM2,000,000
10% equity
PRE-MONEY
RM18,000,000
本轮之前
POST-MONEY
RM20,000,000
本轮之后
| 类别 | 分配 | RM 金额 | 用途 |
|---|---|---|---|
| 工程 | 30% | RM600,000 | 产品 development, platform hardening, model optimisation |
| 基础设施 | 25% | RM500,000 | GPU服务器、vLLM集群、VPN骨干网、VPS配置 |
| Go-to-市场 | 20% | RM400,000 | 销售 team, marketing, channel development, pilots |
| 入职引导 & 支持 | 10% | RM200,000 | 定制er onboarding, documentation, support team |
| 合规 & 法律 | 5% | RM100,000 | PDPA compliance, legal structure, IP protection |
| 运营资金储备 | 10% | RM200,000 | 运营资金缓冲、应急储备 |
| 总计 | 100% | RM2,000,000 |
可应投资者要求提供详细的股权结构表和财务模型。
操作员-led team with 50+ years combined experience in ecommerce, logistics, AI infrastructure and 财务 not a slide-deck startup.
联合创始人
Drives vision, 合作伙伴hips and business development. 多-platform ecommerce operator managing 80K+ SKUs.
联合创始人
战略c planning, operations and company growth. Oversees cross-border trade corridors Dumai–马六甲 and Medan–端口 Klang.
技术总监
30 years IT & 工程. Architect of the 独立系统, 7-model LLM orchestra, and 262 在线演示.
财务总监
财务 strategy, compliance and fiscal planning. Manages RM15M revenue operations and RM325K zakat & tax.
印尼供应链负责人
负责印尼运营、供应商关系和物流，管理杜迈和棉兰的贸易走廊运营。
Head of 马来西亚 供应链
马来西亚 operations, warehousing and logistics. Runs automated logistics centre with RFID and real-time tracking.
基础d in 马六甲, 马来西亚 · 完整 team bios & references available in data room.
对关键风险和计划缓解措施的透明评估。 估算
目标ing 500 customers in 第1年 requires effective 市场推广. Mitigation: multi-channel approach with direct sales, 合作伙伴 and PLG; pilot deployments to prove value before scaling.
目标 prices (RM100/RM299/RM1,000) need market validation. Mitigation: phased rollout, early-adopter pricing, continuous feedback, willingness to adjust tiers.
VPS cost estimate may vary with provider pricing and utilisation. Mitigation: modular 设计, multi-provider strategy, infra cost monitoring as a KPI.
混合 routing uses external API fallback not zero API dependency. Mitigation: transparent disclosure, continuous optimisation to minimise external API calls.
Established AI providers and 新 entrants. Mitigation: 马来西亚n SME niche focus, data sovereignty advantage, operator-built credibility.
PDPA compliance and financial services regulations. Mitigation: compliance budget (5% of funds), legal advisory, architecture 设计ed for auditability.
第1年目标为预测而非保证。缓解措施：多元化的收入来源和保守的增长假设。
已验证 data, clear labels, transparent methodology.
每一页都验证投资论点的一个层面——护城河、技术、单位经济模型和增长路径。
Every major figure in this deck is labelled with its 状态:
RM2M seed · 10% equity · RM18M pre · RM20M post. 目标: RM2.85M 年份-1 revenue · RM88.4M 5-year combined revenue.
This document contains forward-looking projections and target estimates. Past performance of internal operations does not guarantee future results. All figures labelled with their 状态 as applicable. See the risk section for a full discussion of uncertainties.
