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.
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.
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.
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
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.
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.
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.
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.
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.
Does each customer make us real money, fast? Targets above SaaS benchmarks; pre-revenue at Seed, validated by the Apexon design partner.
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).
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.
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.
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) | |||||||
| SMB | 200 emp | 3-4 (+ Procurement) | 20 | Optimize × 1.0× | 20 × $250 × 1.0 × 12 | $60K | 88% |
| UPPER SMB (deck Slide 13: SMB / Mid-market boundary, 500-emp) | |||||||
| Upper SMB | 500 emp | 4-5 | 35 | Transform × 1.0× | 35 × $400 × 1.0 × 12 | $168K | 93% |
| MID-MARKET DIRECT (deck Slide 13: $200-$500K Y1 band) | |||||||
| Mid-market | 1,000 emp | 4-5 | 70 | Transform × 1.0× | 70 × $400 × 1.0 × 12 | $336K | 95% |
| CHANNEL / WHITE-LABEL (deck Slide 13: $480-$600K Y1 band) | |||||||
| Channel | Apexon-class | 5+ across partner book | 10-100 end clients | Partner pricing | Volume-negotiated | $480-$600K | 95%+ |
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 |
|---|---|---|---|---|---|
| SMB | 200 emp | 25 | Transform × 1.15× blended | $138K | 2.3× |
| Upper SMB | 500 emp | 50 | Transform × 1.2× blended | $288K | 1.7× |
| Mid-market | 1,000 emp | 100 | Transform × 1.2× blended | $576K | 1.7× |
| Channel | Apexon-class | 300-500+ | 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+).
Where does our cost go, and how does $8,500 Year 1 COGS compress to $4K at scale? Four cost levers, each independent.
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.
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.
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.
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.
▶ 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 Category | Annual | % |
|---|---|---|
| AI Infrastructure | $500 | 6% |
| Customer Success | $2,500 | 29% |
| Technical Support | $1,500 | 18% |
| DevOps & Operations | $1,000 | 12% |
| Tools & Security | $500 | 6% |
| Implementation (one-time) | $2,500 | 29% |
| Year 1 Total | ~$8,500 | 100% |
Year 2+ COGS per customer (steady state)
| Cost Category | Annual | % |
|---|---|---|
| AI Infrastructure | $500 | 8% |
| Customer Success | $2,500 | 42% |
| Technical Support | $1,500 | 25% |
| DevOps & Operations | $1,000 | 17% |
| Tools & Security | $500 | 8% |
| Year 2+ Total | ~$6,000 | 100% |
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.
How does $2-4M Year 1 become $25-50M Year 3? Customer count compounds; blended ACV expands; channel anchors the top end.
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.
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.
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.