Enterprise
Search infrastructure, engineered for scale.
Semantic search, image search, and content moderation on managed infrastructure. Volume pricing, a 99.99% SLA, and a direct line to our team.
100M+
Queries processed monthly
<180ms
P95 latency at volume
99.99%
Uptime SLA
1
API key, three products
Three products, one API key. Built for teams that can't afford downtime.
Semantic Text Search
→Power internal knowledge bases, support docs, or customer-facing search. Users type what they mean, not the exact words you wrote. Works across 100+ languages from a single index.
Query
Rotating Production API Keys
Credential Management Best Practices
Revoking & Re-issuing Access Tokens
Image Search
→Search image libraries by description, by reference photo, by faces, or by text found inside images. Scales to millions of assets with consistent latency.
Text to image
Navy henley
Cotton henley
Slim-fit henley
Ribbed henley
Content Safety
→Catch explicit content before it reaches your users. Every upload classified across 52 categories in under 200ms. Works for user uploads, moderation queues, and pre-publish checks.
profile_photo.jpg
Safe
img_031.png
Blocked
banner_v2.webp
Safe<180ms
P95 latency
99.99%
Uptime SLA
100M+
Queries / month
What you get beyond the API. The things your team will actually ask for.
99.99% uptime SLA
Contractual uptime with service credits if we miss. Real-time status page.
Dedicated support
Shared Slack channel with our engineering team. Response targets tied to severity, not support tiers.
Volume pricing
Predictable per-operation rates at scale. Annual commits unlock dedicated capacity and lower unit cost.
Dedicated capacity
Reserved throughput for your workload. No noisy neighbors or surprise rate limits during traffic spikes.
Priority roadmap input
Direct say in what we ship next. Early access to new endpoints and models.
Onboarding & migration
We help you move off your current search stack. Bulk import tooling and schema review included.
Building search in-house burns $500K+ a year. You get the same stack for a fraction of that.
90%
Lower cost
No ML engineers, no GPU clusters, no vector database to manage. Predictable per-call pricing that scales down when you don't need it.
<180ms
Response time
P95 latency for real-time search and moderation. Infrastructure purpose-built for vector operations at scale.
100M+
Queries per month
No throughput to provision, no clusters to size. Scale up during launches, down overnight, pay only for what you actually use.
How we handle data
Vectors only
We store compact embeddings, never your raw images or documents.
No training on your data
Your content never trains our models or gets shared with third parties.
Encryption end-to-end
AES-256 at rest, TLS 1.3 in transit across the whole pipeline.
Hard delete on request
Signed attestation when a vector is removed. No archives, no recovery window.
Running search in-house is expensive. We replace the whole stack.
Engineers, GPUs, a vector database, observability, on-call rotations. Drop all of it for a contract and a single API.
Without Vecstore
You build and run it yourself
$9,250
/ mo$111K a year, before anything breaks
With Vecstore
One API, one monthly bill
$1,200
/ moYou save $96K a year
What the $9,250 actually covers
We'll reply within one business day.
