Knows when to act. Knows when to ask.
Agentic, orchestrated, evolving. The orchestration layer that turns AI pilots into governed production workflows. Multikor pairs a 6-tier SLM-first LayerCake with the Multikor Quality Gate, our proprietary validation layer that mathematically checks every output against the customer's actual data before it reaches the user. SMB and mid-market operators get production-grade agents in weeks, without an AI team, on AWS-native cloud or proven on-prem hybrid on NVIDIA GB10.
© 2026 Multikor AI, Inc. Confidential. For Prospective Investors. May 2026.
The answer isn't bigger models. It's production-grade orchestration.
of observed AI POCs do not reach widescale deployment. IDC research with Lenovo found that only 4 of every 33 AI POCs graduate to production.
SMB and mid-market operators have zero AI engineers in-house. They need outcomes, not a multi-quarter platform build.
Data trapped across SaaS, EHR/PIMS, documents, email. Pilots fail on integration, not on intelligence.
Healthcare, financial services, insurance, and government require validation, audit, and policy controls before any agent ships.
Source: CIO, "88% of AI pilots fail to reach production," March 25, 2025, citing IDC research with Lenovo.
SLMs hit production viability, the deployment gap is widening, and a $6T services economy is shifting to software-delivered work.
Domain-specific small language models now deliver task-level accuracy with ~80% lower inference cost and ~60% faster latency than general-purpose LLMs. Edge-deployable on 128GB unified memory.
The "AI demo to AI in production" gap is the bottleneck, not model capability. Forrester predicts fewer than 15% of firms will activate agentic features in 2026, despite executive interest. The failing pilots are operational failures: integration, governance, drift, ownership.
$6T global services labor versus $1.44T enterprise software (Gartner IT Spending Forecast, 4Q25). AI agents collapse that gap by delivering work, not tools. Gartner forecasts total AI spending at $2.52T in 2026, +44% YoY. SMBs without AI teams are the largest underserved buyer.
Convergence. For the first time, the technology, the market pain, and the buyer are all ready at the same time for an SMB-first, governed orchestration platform.
Sources: Sequoia (Services-as-Software) · Gartner IT Spending Forecast 4Q25 · Gartner AI Spending Forecast 2024-2029 (4Q25) · Forrester Predictions 2026 (RES184998) · Multikor company materials.
Disciplined. Healthcare operations is the primary wedge. The same orchestration platform expands to adjacent regulated, admin-heavy SMB verticals as the wedge proves.
Intake, prior auth, billing & claims, audit.
Appointment intake, SOAP, recall, billing.
FNOL routing, adjudication support, SIU.
KYC/AML, onboarding ops, exception handling.
Permits, eligibility, case routing, audits.
Sources: AMA, "Physicians' greatest use for AI? Cutting administrative burdens" (Mar 20, 2025) · Gartner IT Symposium (Oct 2025) · Gartner press release (Aug 2025).
Three platform pillars deliver outcomes operators can ship in weeks, without an AI team.
Connect SaaS, EHR/PIMS, documents, APIs, email. Entity graph, knowledge/RAG, and context memory turn fragmented systems into a single context surface.
SLM-first routing with confidence-based escalation to LLM or human. Outputs validated through the Multikor Quality Gate, our proprietary mathematical validation framework that catches structurally invalid answers before they reach the user. Auditable by design.
Detect, diagnose, repair, escalate, learn. Workflows survive the production handoff where most pilots break.
A four-stage operating model. Every workflow flows through it. Same loop in healthcare, veterinary, claims, or back-office ops.
Ingest from SaaS, EHR/PIMS, documents, email, and APIs. Build the unified entity graph and context memory in days, not quarters.
Decompose work into a DAG of agents and tools. Route each step to the right tier: SLM, LLM, deterministic query, or human review.
Run governed workflows with output validation, methodology guardrails, and a review queue for low-confidence cases. Audit-ready by default.
24 feedback loops update prompts, routing thresholds, and embeddings on the customer's own data. Self-healing on drift, regression, or outcome miss.
Learn feeds back into Connect, Orchestrate, and Execute. The platform improves on the customer's own data. No human in the loop for routine optimization.
80%+ of enterprise queries never touch a frontier model. Every tier is validated against the live schema graph before output.
Our proprietary validation framework checks every output against the live schema graph, with calibrated thresholds at the 95th percentile across production embedding nodes. Catches answers that look semantically right but are structurally invalid, the failure mode that kills RAG in production.
Per-agent tier multiplied by discipline multiplier. Per-agent autonomous pricing is the SMB wedge. LLM-first competitors lose money at these price points.
| Tier | Per agent | Bedrock model · Target customer |
|---|---|---|
| Automate | $150 | Haiku. SMB land, 1-2 disciplines, light-touch CSM. |
| Optimize | $250 | Haiku/Sonnet. SMB and mid-market, 2-4 disciplines, dedicated CSM, SSO/SCIM, RBAC. |
| Transform | $400 | Sonnet/Opus. Mid-market/enterprise, all disciplines, custom dev, SLA-backed. |
On-prem. Per-agent license at SaaS price plus Annual Support Contract ($25K – $150K by tier). 3-year minimum. Captures ~30% ARR per enterprise customer. Blended GM ~83%.
Unit economics. 85% inference on SLMs at <$0.003/query. 15% Bedrock escalation. 95% autonomous / 5% HITL. Total AI infra <$500 / customer / yr.
¹ Automate GM range varies with on-prem vs Bedrock Haiku mix at small agent counts.
The platform autonomously learns, adapts, and heals using the customer's own data. No human in the loop for routine optimization.
Prompts as living artifacts.
Every signal feeds the producing system.
Detect. Diagnose. Remediate drift.
Closed-loop verified in production. Self-healing detects regression and writes remediation back to the feedback row. Workflows survive production and improve as they run.
Schema drift is the silent killer of enterprise AI. Customer data evolves; the AI's understanding doesn't, unless the platform watches for it.
Flags when query, retrieved context, and answer fall outside the learned manifold.
Calibrated thresholds at the 95th percentile.
Bedrock Titan v2 embeddings (1024-dim) on Neptune Analytics. Degradation triggers automatic recalibration.
Threshold 0.90, top-K 30.
Cross-references results against the live schema graph. Catches answers that score well semantically but are structurally invalid.
96.7% end-to-end integration pass.
Drift response. Quarantine affected queries. Trigger recalibration via the PLM closed loop. Escalate to human review when confidence stays low after recalibration.
Routed to exact, schema-linked queries. No LLM call needed.
Validated semantic retrieval with confidence thresholds.
Decomposed, routed in parallel, reassembled via orchestration.
Multikor executes governed workflows. Trustwise is a complementary, independent control layer that can oversee them in regulated enterprise deployments. Multikor remains the orchestration and execution layer.
Executes governed workflows.
Orchestration · agents · tools. Validation · self-healing · audit. SMB and mid-market operator focus.
Oversees agents in production.
AI Control Tower across models / clouds. Shields against tool misuse and data leaks. Large enterprise: healthcare, finance, industrials.
Tenant- and regulation-specific policies enforced over agentic workflows.
HIPAA and SOC 2 in flight. FCA, PCI-DSS, ISO 42001, NIST AI RMF, EU AI Act on roadmap as Trustwise integration deepens.
Continuous trust signals feed Multikor's self-healing loop with provenance.
Enterprise-grade trust posture accelerates upmarket motion as the wedge expands.
Source: Trustwise public materials.
A repeatable, outcome-led sales motion in the wedge, paired with a high-leverage channel through implementation and services partners that already own the buyer.
One painful workflow. Governance built in from day 1.
Adjacent workflows in the same operator. Same data fabric.
Repeat across the partner's book of similar SMBs.
Direct sales builds the reference base, PMF, and case studies. Channel partners multiply that base across their existing client portfolios. Direct scales linearly, channel scales geometrically.
$9 – $15K / mo. 5-10 agents.
$50 – $80K Year 1 ACV
$30 – $60K / mo. 20-40 agents.
$200 – $500K Year 1 ACV
$40 – $50K+ / mo wholesale. Embedded in delivery.
$480 – $600K Y1 → $1.2M+ Y3
Pilot discipline. 90-day proof-of-value at full retail pricing. 30-day exit clause. No free POCs, no loss leaders.
We don't compete on model size, on enterprise search, or on screen-recording bots. We compete on whether AI work survives the production handoff in an SMB without an AI team.
"Individual automation markets like RPA, iPaaS, and BPM have all but converged. The challenge for 2026 will be to figure out how to combine adaptive intelligence with proven controls, balancing innovation with trust."
— Leslie Joseph, Principal Analyst, Forrester (Predictions 2026: Automation and Robotics, RES184998)
| Category | Representative players | Where Multikor differs |
|---|---|---|
| LLM / foundation platforms | Anthropic, OpenAI, Google Vertex AI | They sell models and infra. We orchestrate routing across SLM tiers and the LLM. Most queries never touch a frontier model. |
| Enterprise search & copilots | Glean, Microsoft Copilot | They surface answers inside knowledge workers' UIs at 100+ seats. We execute governed multi-step work for operators without an AI team. |
| RPA / automation | UiPath, Automation Anywhere | Brittle screen-recording bots that break on UI change. We execute over a unified data layer with self-healing and validation. |
| Agent builders & frameworks | StackAI, LangChain, CrewAI | Toolkits to build agents. We deliver a production platform with governance, data fabric, and self-healing already in the box. |
| Vertical SaaS AI add-ons | EHR / PIMS native AI features | Bound to a single system of record. We work across the operator's full stack: SaaS, EHR/PIMS, docs, email, APIs. |
| AI trust & control | Trustwise (complementary) | Independent control tower oversees agents in production. We execute governed workflows that benefit from that oversight. Separate, complementary category. |
Status as of May 2026, company-reported. MVP is in production, the first design partners are live, and pipeline is in active discovery.
AWS · NVIDIA Inception · Bifrost edge deployment · Tailscale mesh VPN. Product stage: private beta.
Seed-plan target. Sequenced milestones from design-partner conversion through repeatable revenue and Series A readiness.
Turn pilots into governed production workflows. Conservative seed operating plan with 18-24 month runway to Series A.
Hardened SLM stack, prompt lifecycle, self-healing pipeline at production scale.
Operator-focused AEs, channel partner enablement, vertical playbooks.
Healthcare, veterinary, channel-led onboarding and retention.
HIPAA, SOC 2, audit posture, finance/ops infrastructure.
| Function | Headcount | FTE adds | Monthly burn |
|---|---|---|---|
| Founder leadership (CEO/CTO) | 2 founders | included | $42 – $50K |
| Product & engineering | 8-10 eng. blended onshore/nearshore | +5-7 | $140 – $180K |
| Sales & GTM | 1 SVP + 3-4 operator AEs | +2-3 | $95 – $115K |
| Customer success & deploy | 2-3 deployment leads | +2 | $45 – $60K |
| Ops, compliance & finance | 1-2 ops/legal + fractional CFO | +1 | $24 – $31K |
Ramped burn $346 – $436K / mo (full headcount, M12+). Operating capacity 18-24 months: average burn ~$285K/mo over 18 months (starts ~$175K, ramps as hiring lands), combined with Slide 16 revenue arc puts operational breakeven near M15. Series A at M10-M18 is a growth round, not survival.
20+ yrs enterprise tech. Former SVP, RxSense.
20+ yrs engineering leadership across enterprise platforms.
15+ yrs enterprise AI, cloud, and data architecture. TOGAF and IL6 credentialed.
20+ yrs enterprise software growth, commercial strategy, and operator-led sales.
Multikor turns AI from pilots into governed production workflows.
Seed round in progress. AWS · NVIDIA Inception · Private beta.
Engagement detail on request via the portal contact form.