Egzakta Group — Strategic Launch Sequence

Waggle OS Go-to-Market · Q2-Q4 2026

"AI memory is the new lock-in. Every day a knowledge worker uses AI tools, they generate knowledge that sits on someone else's servers. Waggle brings that memory home."

Three-Phase Launch Sequence

Progressive escalation from open-source community seeding through paid conversion to enterprise deals. Each phase creates the demand for the next.

Phase 1 "Bring Your Memory Home" Weeks 1 – 4 ▾
Open-Source hive-mind
Apache 2.0 memory MCP server published to npm + GitHub. FrameStore, HybridSearch, KnowledgeGraph, harvest adapters, wiki compiler skeleton.
Separate repo. Core memory primitives go open-source. Agent runtime, evolution stack, compliance PDF, marketplace, KVARK stay proprietary. Mastra-style dual-license pattern.
Waggle Desktop + Web Launch
Free tier: 5 workspaces, agents, built-in skills. Tauri 2.0 binary for Windows/macOS + web app. Memory + Harvest free forever.
Lock-in moat: memory and harvest are free forever. Users accumulate knowledge in Waggle. Agents generate memory. Skills and connectors are the upgrade trigger to Pro.
Harvest-First Onboarding
Import day one: ChatGPT, Claude, Claude Code, Gemini, Perplexity exports. 10 production adapters. First-run hook UX.
9 adapters + Perplexity = 10 production adapters. Universal/PDF/URL/Markdown/TXT baselines. Users see "18 months of AI history" become a structured wiki in minutes.
Knowledge Wiki Demo
"18 months of AI history → structured wiki" — the hero moment. Entity pages, concept synthesis, auto-compiled from harvest data.
Wiki Compiler v1 already built + tested with live Haiku synthesis. 8 pages generated from real data. Demo shows the "magic moment" that hooks new users.
LinkedIn 3-Post Sequence
Marko's 620K weekly impressions. Post 1: problem statement. Post 2: demo video. Post 3: GitHub launch.
Sequenced over 10 days to build narrative momentum. Each post references the previous. Goal: maximum organic reach before any paid spend.
Academic Paper #1: Memory
arXiv submission. I/P/B frame model, multi-mind isolation, contradiction detection, compliance-by-default, wiki compilation.
Architecture paper with formal properties. Empirical numbers pending v2 hypothesis benchmark. Structural narrative reviewable now. arXiv-style working paper at docs/research/02.
5,000
Users in 60 days
1,000
npm installs in 30 days
10
Harvest adapters live
Phase 2 "AI Act Ready in 60 Days" Weeks 5 – 12 ▾
Compliance as Product Feature
EU AI Act compliance report built in. Free: executive summary. Pro: full audit trail with interaction logging + risk classification.
Aug 2, 2026 deadline. "Compliance by default" turns memory into a regulated-industry wedge. $2.2B governance market in 2025, growing 15.8% CAGR to $11B by 2036.
Pro €19/mo + Teams €49/seat
Pro: unlimited workspaces, wiki, personas, marketplace, all connectors. Teams: shared memory, WaggleDance, governance dashboards.
Stripe integration ready (stripe@^21.0.1 installed). Products + webhooks + tier enforcement to be wired. Free-to-Pro trigger: 5-workspace limit hit + marketplace lock.
HIVE Hardware Pre-Orders
€500/mo. A6000 on-prem appliance. No external API calls. Full sovereign inference for regulated environments.
Hardware bridge between SaaS teams and full enterprise KVARK. CISOs who can't send data to cloud APIs. Pre-order model validates demand before inventory commitment.
Academic Paper #2: GEPA Evolution
arXiv submission. Genetic-Pareto evolution for prompt optimization. v2 hypothesis result: Gemma 4 + Waggle-evolved prompts matching Opus 4.6.
ICLR 2026 Oral (Agrawal et al., arXiv:2507.19457). Waggle's implementation: 4 blind judges ranked Gemma 4 + Waggle ABOVE raw Opus 4.6. C/A ratio: 108.8%. Reproducibility repo required day one.
250
Pro users
€4,750
Pro MRR
25
Team subscriptions
€6,125
Teams MRR
Phase 3 "Enterprise Escalation" Months 4 – 6 ▾
Compliance Bridge to KVARK
Teams → governance ceiling → CISO conversation → KVARK deal. Compliance report becomes the enterprise sales document.
Natural escalation: team compliance dashboards surface gaps that only sovereign infrastructure can fill. "You've outgrown SaaS compliance. Let's talk about on-prem." KVARK is EUR 1.2M already contracted.
Partner Channel Activation
3-5 reseller partners + 2-3 delivery partners. Regional coverage for enterprise pipeline.
Partners handle local enterprise sales and implementation. Waggle provides the product + compliance story. Partners provide the relationships + local compliance knowledge.
ATOS/Mistral National Deal
If closes: national AI infrastructure reference customer. Sovereign compute + LM TEK GPU layer.
Strategic bet. Not counted in revenue projections. If it lands: reference deal that accelerates all enterprise conversations. Mistral Forge ARR trajectory ~$400M to $1B. Free-compute-on-customer-GPU model is pricing anchor for KVARK positioning.
LM TEK GPU Infrastructure
H200/B200 GPU infrastructure for enterprise customers requiring sovereign compute. Hardware layer of the full stack.
Complete vertical: consumer app (Waggle) to enterprise platform (KVARK) to GPU hardware (LM TEK). No competitor covers the full stack.
2-3
Enterprise deals
€300K
New ARR target
5-8
Channel partners

The Escalation Ladder

Each tier creates natural demand for the next. Free users generate memory, hit limits, and upgrade. Enterprise buyers see compliance gaps and escalate to sovereign.

FREE
€0 / forever
Harvests memory → hits 5-workspace limit
PRO
€19 / month
Unlimited workspaces, wiki, personas, marketplace
TEAMS
€49 / seat / month
Shared memory, WaggleDance, governance dashboards
HIVE
€500 / month
On-prem hardware, no external API, sovereign inference
KVARK
€25K / module
Full sovereign, IAM inheritance, audit trail, compliance
LM TEK
Consultative
H200/B200 GPU infrastructure — sovereign compute layer
Lock-in mechanics: Memory + Harvest is free forever. The more a user harvests, the more valuable Waggle becomes and the harder it is to leave. Agents are free because they generate memory. Skills and connectors are the upgrade trigger — not memory, not agents.

Escalation Triggers

FREE → PRO
User hits 5-workspace limit, wants marketplace skills, needs unlimited wiki generation, or wants full compliance reports.
PRO → TEAMS
Second colleague asks "can I see your workspace?" Shared memory + WaggleDance multi-agent orchestration + team governance.
TEAMS → HIVE
IT security flags cloud API data residency. CISO requires on-prem inference. GDPR data localization mandate.
HIVE → KVARK
Organization needs IAM inheritance, multi-tenant governance, full audit trail, custom model fine-tuning, data pipeline injection.

Why We Win

Five structural advantages that compound over time. No single competitor covers more than two.

⚙
Memory Harvest From ALL Platforms
10 production adapters: ChatGPT, Claude, Claude Code, Gemini, Perplexity + universal formats. Nobody else aggregates cross-platform AI memory.
Competitive audit: mem0 (48K stars) does user memory but no cross-platform harvest. Letta does memory but single-platform. Rewind records screen but doesn't extract knowledge structure. Waggle is the only system that imports from all major AI platforms and compiles into a structured wiki.
⚡
GEPA Self-Evolution
Cheap models reach flagship quality. Gemma 4 + Waggle-evolved prompts scored above raw Opus 4.6 in blind judging. C/A ratio: 108.8%.
Full evolution stack: execution traces, eval datasets, LLM-as-judge scoring, GEPA iterative optimization, EvolveSchema, constraint gates, deploy pipeline. 357 evolution tests. This is CORE feature, not tier-gated.
⚖
EU AI Act Compliance by Default
Aug 2, 2026 deadline. Interaction logging, risk classification, audit trail, compliance reports. Built in, not bolted on.
Dual-hook strategy: Memory Harvest for daily value + AI Act "compliance by default" for regulated buyers. Governance market: $2.2B (2025) growing 15.8% CAGR. Waggle's compliance report is FREE as summary, Pro for full audit.
⚖
Full Sovereign Stack
Consumer → Enterprise → Hardware → GPU. Six-tier product ladder from free desktop app to H200 GPU infrastructure.
No competitor covers the full stack. OpenAI/Anthropic: SaaS only. Palantir: enterprise only ($5.2B FY26). Cohere: enterprise API ($240M ARR). Waggle + KVARK + LM TEK = consumer to GPU in one company.
★
"Never Say Agent" Positioning
AI workspace, not AI agent. Accessible to non-technical users. "Your AI remembers. Your data stays yours. Your compliance trail writes itself."
Competitive positioning: Salesforce Agentforce ($125 add-on) sells "agents." Waggle sells an "AI workspace with persistent memory." The workspace framing captures a broader audience than the developer-focused "agent" framing.

Competitive Landscape

Competitor Scale What They Lack
mem0 48K stars, $24M Series A No cross-platform harvest, no compliance, no desktop app
Letta 13K stars, $10M seed Single-platform memory, developer-only, no workspace UX
Cohere North $240M ARR, 2026 IPO API-only, no desktop, no harvest, no self-evolution
Palantir AIP $5.2B FY26 guidance Enterprise-only, no consumer funnel, no OSS layer
Mistral Forge ~$400M-1B ARR trajectory No memory layer, no harvest, model vendor not workspace

Revenue Projections

ARR waterfall by product line. Excludes existing €1.2M KVARK contracted revenue.

Month 6 Waterfall (∼€290K new ARR)

€0
Free
Tier
€57K
Pro
€19/mo
€73.5K
Teams
€49/seat
€30K
HIVE
€500/mo
€125K
KVARK
New
—
LM TEK
TBD
Product Line Unit Price Month 6 Units Month 6 ARR Month 12 Units Month 12 ARR
Free Tier €0 5,000+ users €0 15,000+ users €0
Pro €19/mo 250 €57,000 750 €171,000
Teams €49/seat/mo 125 seats €73,500 375 seats €220,500
HIVE €500/mo 5 units €30,000 15 units €90,000
KVARK (new) €25K+/module 2-3 deals €125,000 5-8 deals €600,000
TOTAL (new ARR) €285,500 €1,081,500
Existing KVARK: €1.2M already contracted (Egzakta enterprise deals). Not included in above projections. Combined Month 12 ARR including existing KVARK: ∼€2.28M.

Month 12 Waterfall (∼€1.08M new ARR)

€0
Free
€171K
Pro
€221K
Teams
€90K
HIVE
€600K
KVARK
TBD
LM TEK
Revenue Mix Insight
KVARK enterprise deals dominate ARR (~55% at M12). Pro+Teams provide steady base. HIVE bridges the gap. This is a enterprise-led business with a consumer funnel.
Funnel Economics
5% Free → Pro conversion. 10% Pro → Teams expansion. Enterprise deals sourced through compliance ceiling discovery in Teams tier.

Immediate Actions — 14-Day Sprint

The critical path items that must ship before Phase 1 launch. Click items to toggle completion status.

  1. Wire Stripe products + webhooks
    Create Stripe products for Pro/Teams/HIVE. Wire webhook endpoints to tier enforcement in sidecar. Stripe SDK already installed.
    P0
  2. Code signing for desktop binaries
    Windows + macOS code signing certificates. SmartScreen and Gatekeeper require signing for user trust. Tauri binary unsigned = blocked downloads.
    P0
  3. Harvest-first onboarding UX
    Replace current 7-step wizard with harvest-first flow. Import before anything else. "See your AI history" as the first magic moment.
    P0
  4. Prepare hive-mind OSS repository
    Extract memory primitives (FrameStore, HybridSearch, KnowledgeGraph, harvest adapters, wiki skeleton) into separate Apache 2.0 repo. README + npm publish prep.
    P1
  5. LinkedIn post sequence draft
    Write 3-post sequence: problem statement, demo video script, GitHub launch announcement. Leverage 620K weekly impressions.
    CONTENT
  6. Demo video: harvest → wiki
    Record screencast: export ChatGPT data, import into Waggle, watch wiki compile. Show the "18 months of AI history" magic moment.
    CONTENT
  7. Finalize arXiv Paper #1 (Memory)
    Complete empirical sections, run benchmark suite, format for arXiv submission. Architecture narrative already reviewable.
    GROWTH
  8. Trial expiry → Free fallback flow
    Verify trial timestamp enforcement. 15-day trial with all features, then graceful degradation to Free tier. Modal already built, verify end-to-end.
    P1
  9. Warm-list outreach (72h pre-launch)
    Compile list of researchers, developers, and journalists for 72h pre-publication notification. Personal emails, not mass blast.
    GROWTH
  10. v2 hypothesis decisions (Q1-Q5)
    Approve or amend the 5 hypothesis v2 decisions in docs/hypothesis-v2-decisions.md. Unblocks GEPA paper timeline and $200 4-day runbook.
    GROWTH
Dependency chain: Items 1-3 are hard blockers for Phase 1 launch. Item 4 (hive-mind repo) should launch 30-60 days after v2 hypothesis reveal to compound attention. Items 5-6 (content) can be parallelized with engineering work. Item 10 (hypothesis decisions) unblocks the entire GEPA/Paper #2 track.
Egzakta Group · Strategic Launch Sequence · Q2-Q4 2026
waggle-os.ai · kvark.ai
Generated 2026-04-15 · Hive Design System