Per-agent pricing × discipline multipliers.

Customers buy work getting done, not software licenses. LLM costs baked in. 85% of queries run on owned edge hardware — CAPEX that depreciates, not OPEX that scales with usage.

Automate
$150
Per agent / month
Single-discipline entry

What's included: Core agents on shared cloud. Schema-based routing. Standard SLA. Business-hours support.

Workload absorbed: ~35% of the labor base in covered disciplines.

Best fit: Single-discipline entry. SMB customers testing one workflow before expanding to adjacent disciplines.

Optimize
$250
Per agent / month
2-4 disciplines, typical SMB

What's included: Automate features + Multikor Quality Gate validation, per-tenant LoRA tuning, system integrations, business-hours SLA.

Workload absorbed: ~50% of the labor base in covered disciplines.

Best fit: Typical SMB. Multi-discipline customers running CS, F&A, Procurement. Mid-velocity, daily-volume workflows.

Transform
$400
Per agent / month
Full coverage, enterprise

What's included: Optimize features + on-prem option, advanced workflow customization, dedicated CSM, 24/7 SLA, regulated-compliance pathways (HIPAA, SOC 2, PCI-DSS).

Workload absorbed: ~65% of the labor base in covered disciplines.

Best fit: Enterprise, regulated industries, channel-partner resold deployments, Phase-2 disciplines (Sales, Marketing).

× Discipline Value Multiplier

1.0×
Finance · CS · HR · Procurement · Kaizen
Cost-saving (all launch disciplines)

Base multiplier (1.0×): Cost-saving disciplines. All five day-1 disciplines sit here. Agents absorb labor cost without directly touching top-line revenue.

Customers value these at base tier price. No premium until revenue or product-ops disciplines come online.

1.5×
Mfg · Dev · CAD
Product / Ops (future)

Mid multiplier (1.5×): Product and operations disciplines (manufacturing ops, developer productivity, CAD-driven workflows).

Not on the launch roadmap. Tracked here so the framework reflects the full value spectrum customers will see over time.

2.0×
Sales · Marketing
Revenue-touching, Phase 2 (Q4 2026)

Premium multiplier (2.0×): Sales and Marketing agents drive top-line revenue directly (lead enrichment, outbound sequencing, campaign drafting, attribution).

Higher direct revenue impact per agent justifies the 2× price level. Phase 2 launch Q4 2026.

Tier price × multiplier × agent count × 12 = ACV. Day-1 disciplines all sit at 1.0× until Phase 2 ships.

Why this model wins

$150-$400/agent/month × 1.0–2.0× discipline multiplier. LLM costs baked in — never a surprise bill. 85% of queries run on owned hardware (CAPEX, not OPEX). Same hardware serves more customers, so margins expand from 83% to 91%+ as density increases. Total AI infra: <$500/yr per customer.

Revenue streams

Three tiers × multipliers. License + Annual Support for on-prem (~30% ARR uplift). Channel partner pricing for white-label deals.

Future: Agent Marketplace (roadmap, not Year 1).

Cost structure

85% on owned hardware (<$0.003/query). 15% LLM escalation. 5% routed to customer's own staff via Quality Gate. Structural cost advantage vs LLM-first.

Land & expand

Single-discipline entry (~$18K ACV at Optimize × 1.0×). Land in CS or F&A. Expand to adjacent disciplines on the same data fabric; Phase 2 adds Sales/Marketing at 2.0×.

What this looks like by industry.

Four representative customer scenarios. Each shows the pain today, what Multikor does, the workflow result, and the economics on both sides. The point: we've thought through what real customers look like, and we make real money on every deal.

Before · today's pain
    After · what Multikor does
      Workflow result
      The economics · both sides
      Customer pays Multikor
      Customer margin lift
      Multikor Y1 net margin
      3-year customer LTV

      On-prem: License + Annual Support.

      For regulated buyers who can't run AI in the public cloud. Same product, different commercial model.

      REVENUE STRUCTURE

      • License fee at deployment, scales with agent count.
      • Annual Support recurring · ~30% ARR uplift vs SaaS.
      • 3-year minimum support term.
      • NVIDIA GB10 (Bifrost) reference · hybrid option available.

      WHO BUYS THIS

      • Healthcare · HIPAA, PHI residency.
      • Financial services · PCI, model-risk management.
      • Insurance · sensitive claim case data.
      • Government SMB · permits, eligibility, case routing, audits.

      Pure-SaaS competitors are locked out of these workflows.

      Channel partners can resell this.

      A consulting firm like Apexon sells Multikor on-prem to its healthcare and financial-services customers. Three things happen.

      Partner sells & implements

      Apexon owns the customer relationship, sells the deal, runs implementation, and bills services. Their margin, their book of business.

      Multikor captures

      License fee at signing + Annual Support recurring. ~30% more ARR than the same customer as a SaaS deal. 3-year contract minimum.

      Why it sticks

      The customer is in a regulated industry. Once Multikor runs on their hardware against their schema, swapping out is a multi-quarter compliance project.

      Cost-moat defense.

      Why $150–400/agent/month works for us. Why it doesn't for anyone else.

      Full competitive map on the Product page
      Per-query cost
      Floor for 70% GM
      Why they can't follow us
      MultikorSLM-first · owned edge
      Per-query cost~$0.005
      Floor for 70% GM$150–400/agent/mo · profitable
      Why they can't follow usOwned hardware. CAPEX, not OPEX.
      LLM-first agent platformsSierra, Lindy, StackAI
      Per-query cost~$0.04–0.05
      Floor for 70% GM~$1,500+/agent/mo
      Why they can't follow usEvery query hits a frontier model. Margin erodes with usage.
      Foundation-model platformsOpenAI, Gemini
      Per-query cost$0.04–0.05
      Floor for 70% GMWould have to undercut own API
      Why they can't follow usCannibalizes existing API revenue. Strategic conflict.
      Vertical incumbentsSalesforce, Microsoft
      Per-query costBundled with platform
      Floor for 70% GM$100K+ platform subscription
      Why they can't follow usCannot reach SMB price without eating their own seats.
      Vertical SaaS incumbentsC3.ai, etc.
      Per-query costServices-heavy
      Floor for 70% GM$250K+ entry ACV
      Why they can't follow usServices-laden model can't shrink to SMB without unwinding revenue mix.

      How the 70% GM floor is calculated: 70% gross margin is the industry-standard SaaS floor.

      Volume assumption: 30 queries/agent/business-day × 250 working days = ~7,500 queries/agent/year.

      Minimum price formula: (query cost × volume) ÷ 0.30 ÷ 12 to back into monthly.

      Multikor's same calculation comfortably underwrites $150/agent/month at the bottom of the Automate tier — that's the moat.

      The numbers, in three views.

      Pick a lens. Each tab answers one investor question. Tap a card for the why; open Go Deeper for the math.

      The investor question

      Does each customer make us real money, fast? Targets above SaaS benchmarks; pre-revenue at Seed, validated by the Apexon design partner.

      LTV : CAC
      > 10×
      Target ratio.
      SaaS benchmark 3-5×

      Direct SMB and Mid-market: Low CAC, recurring ACV from $60K SMB (200-emp Optimize) up to $336K Mid-market (1,000-emp Transform) per deck Slide 13 bands. Tier upgrades and Phase-2 disciplines lift LTV without re-acquiring the logo.

      Channel: Higher absolute CAC, but one partner unlocks 10-100 mid-market clients on a single contract (deck Slide 12).

      CAC Payback
      < 6 mo
      Target payback.
      SaaS benchmark 12-18 mo

      Why this fast: Schema-first onboarding compresses time-to-value to weeks. Customers see workload absorption inside the first billing cycle, not after a year of consulting.

      Channel uplift: Partners often pre-fund pilots, shortening cash-on-cash payback further.

      Gross Margin
      83% → 91%+
      Year 1 → steady state.
      SaaS benchmark 70-85%

      Mechanism: Fixed edge-hardware CAPEX, per-customer OPEX falls as customers share the same density. 85% of queries resolve on owned SLMs at <$0.003 each.

      Beyond 91%: Four levers (infrastructure density, CS automation, platform maturity, onboarding templates) push toward 93%+ at 100+ customers. See Per dollar tab.

      Net Revenue Retention
      125%+
      Target NRR.
      SaaS benchmark 100-120%

      Land thin, expand fat: Customers start single-discipline (CS or F&A), add adjacent disciplines on the same data fabric, and upgrade tiers as agent counts grow.

      Phase-2 lift: Sales and Marketing disciplines (2.0× multiplier) launching Q4 2026 raise blended multiplier across the existing book.

      Go deeper: ACV math by segment Year 1 land · Year 3 expand · canonical sizes

      The pricing math worked through canonical customer sizes. Year 1 = land. Year 3 = expand (Phase 2 disciplines live, tier upgrades absorbed).

      Year 1 ACV by segment

      Segment Size Disciplines Agents Tier × Multiplier ACV math ACV GM
      SMB DIRECT (deck Slide 13: $50-$80K Y1 band)
      SMB200 emp3-4 (+ Procurement)20Optimize × 1.0×20 × $250 × 1.0 × 12$60K88%
      UPPER SMB (deck Slide 13: SMB / Mid-market boundary, 500-emp)
      Upper SMB500 emp4-535Transform × 1.0×35 × $400 × 1.0 × 12$168K93%
      MID-MARKET DIRECT (deck Slide 13: $200-$500K Y1 band)
      Mid-market1,000 emp4-570Transform × 1.0×70 × $400 × 1.0 × 12$336K95%
      CHANNEL / WHITE-LABEL (deck Slide 13: $480-$600K Y1 band)
      ChannelApexon-class5+ across partner book10-100 end clientsPartner pricingVolume-negotiated$480-$600K95%+

      All day-1 disciplines (Finance, CS, HR, Procurement, Kaizen) sit at 1.0× per deck Slide 8. Phase 2 disciplines (Sales, Marketing at 2.0×) lift blended multiplier in Year 2-3. Channel pricing is volume-negotiated and excludes ARR uplift from License + Annual Support on on-prem deployments (~30% per deck Slide 8).

      Year 3 ACV by segment (after expansion)

      Segment Size Agents Tier × Blended Multiplier ACV Expansion vs Y1
      SMB200 emp25Transform × 1.15× blended$138K2.3×
      Upper SMB500 emp50Transform × 1.2× blended$288K1.7×
      Mid-market1,000 emp100Transform × 1.2× blended$576K1.7×
      ChannelApexon-class300-500+Partner pricing$1.2M+2.2×

      Year 3 blended multiplier rises from 1.0× to 1.1-1.2× because Phase 2 disciplines (Sales, Marketing at 2.0×) come online Q4 2026 and a portion of each customer's agent base shifts to those disciplines. Expansion driven by additional disciplines, higher agent counts, and tier upgrades. Not headcount churn or seat repricing. Channel Y3 anchored to deck Slide 13 ($1.2M+).

      The investor question

      Where does our cost go, and how does $8,500 Year 1 COGS compress to $4K at scale? Four cost levers, each independent.

      AI Infrastructure
      $500
      Per customer / year today.
      → ~$300 at 100+ customers

      Composition: Owned edge hardware (~$26/mo amortized) + LLM escalation (~$6-15/mo). 85% of queries stay on owned SLMs.

      At 100+ customers: Fixed CAPEX shared across more customers; per-customer infra cost falls to ~$300/yr. CAPEX, not per-query OPEX.

      Customer Success
      $2,500
      Shared CSM allocation.
      → $1,500 at scale

      Today: CSM allocation amortized across covered accounts; high-touch in Year 1 to lock proof points.

      At 100+ customers: Self-service portal and automated health monitoring drop human touch by ~40%, taking this line to ~$1,500.

      Support, DevOps + Tools
      $3,000
      Engineering, platform, security tooling.
      → $2,200 at scale

      Today: Tech support ($1.5K) + DevOps & Operations ($1K) + Tools & Security ($0.5K) all hand-rolled per customer.

      At 100+ customers: Self-healing pipelines and automated incident triage cut this to ~$2,200. Same headcount supports more accounts.

      Implementation
      $2,500
      One-time, Year 1 only.
      → $1,000 with templates

      Today: Automated schema discovery + workflow configuration in 2-4 hours. The $2.5K is mostly engineering oversight per first deployment.

      At 100+ customers: Repeatable templates per discipline drop this to ~$1,000. Onboarding shifts from engineering-led to ops-led.

      Year 1~$8,500
      Year 2+ steady state~$6,000
      At 100+ customers~$4,000
      Go deeper: full COGS tables + AWS credits Year 1 with implementation · Year 2+ steady state · partnership notes

      Year 1 COGS per customer (with implementation)

      Cost CategoryAnnual%
      AI Infrastructure$5006%
      Customer Success$2,50029%
      Technical Support$1,50018%
      DevOps & Operations$1,00012%
      Tools & Security$5006%
      Implementation (one-time)$2,50029%
      Year 1 Total~$8,500100%

      Year 2+ COGS per customer (steady state)

      Cost CategoryAnnual%
      AI Infrastructure$5008%
      Customer Success$2,50042%
      Technical Support$1,50025%
      DevOps & Operations$1,00017%
      Tools & Security$5008%
      Year 2+ Total~$6,000100%

      AWS partnership credits

      AWS startup credits reduce effective infrastructure costs for early customer onboarding and accelerate Year 1 gross margin. Credit balance and dates available under NDA.

      The investor question

      How does $2-4M Year 1 become $25-50M Year 3? Customer count compounds; blended ACV expands; channel anchors the top end.

      Year 1 · 2026
      $2-$4M
      ARR target (deck Slide 16)
      10-12 customers

      Mix per deck Slide 13: 7-8 SMB direct ($50-80K, ~$65K avg) + 2-3 Mid-market direct ($200-500K, ~$350K avg) + 1 channel anchor ($480-600K, ~$540K).

      Source of confidence: Apexon design partner is the channel anchor. SMB direct is the volume base.

      Year 2 · 2027 · Series A ready
      $6.2-$9M
      ARR target (deck Slide 16)
      25-40 customers

      Mix: 15-22 SMB direct (~$80K each) + 6-10 Mid-market direct (~$430K each) + 3-5 channel partners (~$800K each).

      Lift: Phase 2 disciplines (Sales, Marketing at 2.0×) launched Q4 2026; existing customers expand. Apexon SOW conversion is the load-bearing proof point.

      Year 3 · 2028 · Series B horizon
      $25-$50M
      ARR target (deck Slide 16)
      75-100+ customers

      Mix: 50-65 SMB direct (~$120K) + 20-30 Mid-market direct (~$580K) + 5-10 channel partners ($1.2M+ each per deck Slide 13).

      Expansion mechanics: Existing logos run 4-5+ disciplines on Optimize or Transform tier; Phase 2 disciplines lift blended multiplier toward 1.2×. License + Annual Support uplift on on-prem deployments adds ARR floor.

      Go deeper: customer mix and discipline adoption Segment mix per year · how customers add disciplines over time

      Blended customer mix → ARR ramp

      Period SMB Direct Mid-market Direct Channel Total ARR
      Year 1 (2026)7-8 (~$65K)2-3 (~$350K)1 (~$540K)10-12$2-$4M
      Year 2 (2027)15-22 (~$80K)6-10 (~$430K)3-5 (~$800K)25-40$6.2-$9M
      Year 3 (2028)50-65 (~$120K)20-30 (~$580K)5-10 ($1.2M+)75-100+$25-$50M

      Aligned to deck Slide 16 (Path to Series A). Per-segment ACVs aligned to deck Slide 13 ICP bands: SMB $50-80K Y1, Mid-market $200-500K Y1, Channel $480-600K Y1 → $1.2M+ Y3. Mid-market direct reflects 500-1,500 employee customers on Transform tier with 40-100 agents at deck-canonical 1.0× multiplier on day-1 disciplines.

      Discipline adoption trajectory

      Customers adopt disciplines sequentially, starting with their highest-pain function. Enterprise and white-label customers adopt faster.

      Month 1-3
      1 Discipline
      Finance or CS (highest pain)
      Month 4-6
      2 Disciplines
      Add second core
      Month 7-12
      3 Disciplines
      Procurement or HR
      Year 2-3
      4-5+ Disciplines
      All launch + Phase 2
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