Elasticverse helps AI-driven companies and digital platforms scale and secure their infrastructure, observability and vector search systems with expert-managed services built on Elastic and cloud-native technologies.
At a glance
“We turn noisy logs, metrics, traces & embeddings into resilient, observable AI systems.”
For AI‑driven companies and digital platforms struggling with observability, vector search and DevOps complexity, Elasticverse delivers a turnkey MSP that integrates Elastic, cloud and GenAI tooling — enabling faster recovery, deeper insights and scalable infrastructure.
Elastic‑native & AI‑first
We provide full‑stack expertise in Elastic, vector search and GenAI pipelines — far beyond generic MSPs.
SLA‑backed AI reliability
We define reliability at the AI layer — RAG latency, search relevance and uptime — not just CPU and disk.
Platform engineering mindset
We build developer platforms with self‑service, GitOps and secure infrastructure baked in.
Trends we ride
AI adoption → Explosive data growth
Every LLM, copilot and RAG system generates massive logs, metrics, traces and embeddings. We make them observable.
Vector search + Elastic
Most teams want AI‑powered search but lack Elastic & retrieval expertise. Elasticverse bridges that gap.
DevOps & infra talent shortage
Instead of building a large platform team, partner with an MSP that owns the stack end‑to‑end.
Observability becomes non‑optional
Incidents cost millions; observability is now a board‑level topic. We deliver managed insights tied to your business.
From Elastic and observability to GenAI search and cloud‑native DevOps, Elasticverse is your one‑stop MSP for AI‑ready infrastructure.
01 · Elastic Stack as a Service
End‑to‑end lifecycle for Elasticsearch, Kibana, Beats & Logstash.
02 · Observability & APM
End‑to‑end visibility across apps, services & infrastructure.
03 · GenAI & Vector Search
Elastic‑powered RAG, semantic search & AI observability.
04 · Infrastructure & DevOps
Cloud‑native platform engineering, managed for you.
05 · Cloud Platform Expertise
AWS, Azure & GCP architecture, migration & optimization.
06 · LLMOps & Platform Engineering
Evolving into full LLMOps & internal developer platforms.
Start with core observability or go all‑in on GenAI, Elastic and multi‑cloud platform engineering.
Pricing ranges are indicative. Final proposals are tailored to volume, regions & compliance needs.
Core
Core Observability‑as‑a‑Service
For startups & mid‑size teams that need solid Elastic observability.
$2.5K–$5K / mo
Most Popular
Elastic + DevOps Managed Services
For SaaS & product companies scaling aggressively.
$5K–$10K / mo
GenAI‑native
GenAI Observability & Vector Search MSP
For AI‑native companies, LLM platforms & RAG workloads.
$7.5K–$15K / mo
Enterprise
Enterprise SRE & Platform‑as‑a‑Service
For large organisations with complex infra & strict SLAs.
From $15K / mo
SLAs cover more than infrastructure availability — we define reliability for RAG pipelines, search quality and developer experience.
Share a bit about your stack — Elastic footprint, clouds, AI workloads. We’ll respond with a concrete plan, not a generic sales pitch.