AI Infrastructure
NovaSpark
AI
Series A  ·  $14M  ·  Round B already oversubscribed
847ms Avg Response
99.97% Uptime SLA
412 Enterprise Customers
AI doesn't need more compute.
It needs better infrastructure.

— Dr. Maya Reeves, Co-Founder & CEO, NovaSpark AI

Every frontier model today is bottlenecked not by algorithms, but by the infrastructure that delivers them. We built the layer that makes AI blazing fast, radically affordable, and enterprise-grade reliable.

The Problem

The 3 Bottlenecks

Every AI deployment hits the same walls — and pays dearly for it.

01
Latency
P99 inference latency averages 4.2 seconds in production. Users abandon after 1.5s — that's 64% of potential value destroyed.
02
💸
Cost
Enterprises overpay 3–8× for AI compute due to inefficient batching, cold starts, and bloated token overhead.
03
🔴
Reliability
Current AI APIs offer 99.5% uptime SLAs — that's 44 hours of downtime per year. Unacceptable for mission-critical workflows.
The Solution

One unified infrastructure layer

🔮
NovaSpark Router

Intelligent request routing across 12 model providers in real time. Automatically selects the fastest, cheapest path for every call — with automatic failover, semantic caching, and zero-downtime fallback. Drop-in OpenAI-compatible API. Zero config required.

⚙️
Edge Inference Network

50+ edge nodes globally. Sub-200ms response for 95% of the world's population. Colocated with AWS, GCP, and Azure availability zones.

📊
Observability Suite

Real-time cost dashboards, latency histograms, and quality scoring. Know exactly what you're spending and why — before the invoice arrives.

The Product

Drop in. Route smarter.

novaspark-api  —  inference request
# Standard OpenAI-compatible call — zero migration cost
$ curl https://api.novaspark.ai/v1/chat/completions \
-H "Authorization: Bearer sk-nova_..." \
-d '{"model":"auto","messages":[{"role":"user","content":"Explain quantum entanglement"}]}'
───────────────────────────────────────────────
# Response
{
"id": "nova_01JXMK9P3QR...",
"model_selected": "gpt-4o-mini",
"routing_reason": "lowest_latency_score",
"latency_ms": 211,
"cost_usd": 0.000047,
"cache_hit": false,
"choices": [{ "message": { "content": "Quantum entanglement is..." } }]
}
↳ 211ms end-to-end  ·  $0.000047 per call  ·  auto-routed to cheapest viable model  ·  cached on repeat
Traction

Numbers don't lie

18 months post-launch. Zero paid acquisition.

847ms
−73% vs industry
Avg P99 Latency
$0.0004
−68% vs OpenAI direct
Cost per Call
99.97%
+0.47pp vs SLA
Uptime (TTM)
412
+280 in 6 months
Enterprise Customers
$2.1M ARR  ·  140% net revenue retention  ·  4-month average payback
The Team

Built by infrastructure obsessives

MR
Dr. Maya Reeves
Co-Founder & CEO
Former VP Engineering at Cloudflare, built the global Workers runtime serving 25M req/s. PhD in distributed systems, MIT. Led 3 infrastructure-layer acquisitions.
ℹ LinkedIn Profile
JK
James Kowalski
Co-Founder & CTO
Principal Engineer at Google (DeepMind infra), designed the serving stack for Gemini 1.5. Open-source maintainer with 18k GitHub stars. 2 US patents in ML serving.
ℹ LinkedIn Profile
SN
Sara Nguyen
Co-Founder & CRO
Former Head of Enterprise Sales at Datadog ($0→$400M ARR). Closed Stripe, Twilio, and GitHub as strategic partners. Built and scaled a 60-person enterprise sales org from scratch.
ℹ LinkedIn Profile
Market Opportunity

A category being created now

$340B
Total AI infrastructure market by 2030
(Gartner, IDC, Goldman Sachs consensus estimate)
Growing at 38% CAGR
$340B
TAM
Total AI Infra
$42B
SAM
AI Routing & Serving
$3.8B
SOM (5 year)
Realistic capture at current trajectory

Market size by segment (2026E)

AI API Orchestration $18.2B
Edge AI Serving $12.7B
LLM Cost Optimization $7.4B
AI Observability $3.9B

NovaSpark competes across all four — as the unified layer beneath them.

Competitive Landscape

Why we win on every dimension

Capability NovaSpark AI OpenRouter BrainTrust Portkey DIY AWS
Sub-300ms P99 globally partial
Semantic caching layer partial
Multi-provider auto-failover
Real-time cost optimization partial partial
SOC 2 Type II + HIPAA
✓ = fully supported  ·  partial = limited/add-on  ·  ✗ = not available
The Ask
$14M Series A

18 months of runway to reach $8M ARR and Series B readiness. Lead investor commitment: $8M. Co-investors filling $6M.

Use of funds

45%
Engineering
30%
Go-to-Market
15%
Infrastructure
10%
Legal / G&A
Engineering 45%
GTM 30%
Infra 15%
Legal 10%
Roadmap

18 months to Series B readiness

Q3 2026
Core Platform
Launch NovaSpark v2.0
New routing engine with real-time cost arbitrage. 40% latency improvement over v1.
Partnerships
AWS Marketplace listing
Native AWS integration. Activate 2,000+ prospects already in procurement pipeline.
Team
+8 engineers hired
Infra, ML serving, and platform teams. Target: $6M ARR exit Q3.
Q4 2026
Product
On-premise + VPC deploy
Unlock regulated industries: healthcare, finance, government. $1M+ ACV deals.
Go-to-Market
Enterprise tier GA
SLA-backed contracts, dedicated support, HIPAA/FedRAMP compliance. Target: 50 enterprise logos.
Milestone
$6M ARR achieved
On-track for Series B raise in Q1 2027 at 8× revenue.
Q1 2027
Platform
Fine-tune & BYOM support
Bring-your-own-model routing. Unlocks $500M+ segment of enterprises running private models.
Expansion
APAC & EU edge nodes
12 new PoPs. Sub-150ms guarantee expanded to 99% of global traffic.
Raise
Series B — $40M target
$8M+ ARR, 650+ customers, positive unit economics. Ready for hyperscale.
The Opportunity
Build the infrastructure AI deserves.

The AI infrastructure layer is a once-in-a-decade platform shift. We have the team, the traction, and the technology. We're looking for partners who see what we see.

→ Request the data room
investors@novaspark.ai
novaspark.ai
San Francisco, CA
SOC 2 Type II · HIPAA · ISO 27001
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