Expert-Led Managed Enterprise Search powered by Elastic 

Unify your data. Deploy context-aware semantic search across systems, apps, and files without building it from scratch. 

Enterprise Search Needs To Go Beyond Static Indexing 

It’s about delivering the right answer securely, instantly, and in context. But most enterprise search platforms fall short. Here’s where the breakdown happens 

In-house teams may lack expertise in search architecture, AI tuning, and pipeline engineering.

Skill & Resource Gaps 

Infrastructure struggles to index growing volumes of structured and unstructured data. 

Scaling Friction 

Keyword engines miss semantic meaning, user intent, and entity relevance. 

Shallow Matching 

Role-based access controls are inconsistent or missing across connected systems.

Security Gaps  

Applying AI for context needs tuning, proprietary data grounding, and validation.

AI Integration Difficulty 

Teams manage brittle connectors that break with app updates or schema shifts.

Integration

HYPR Seek addresses these gaps by delivering high-relevance semantic search as a managed service.

Fast & Scalable Search as a Service

HYPR Seek service combines Observata’s expertise and managed delivery model with Elastic’s semantic and vector search capabilities to solve real operational problems. 

HYPR Seek service turns enterprise search into an always-on capability. You get AI-augmented semantic search, delivered as a service and tailored to your systems. 

Why We Chose Elasticsearch For Our Managed Search Service 

Chosen for its flexibility, speed, and proven performance in large-scale search deployments, Elasticsearch is the platform of choice for backbone of HYPR Seek service. But out-of-the-box, it requires significant engineering effort to adapt for enterprise-grade search. 

Open Source Flexibility 

Elasticsearch is built on an open core, with wide support across public, private, and hybrid environments. No vendor lock-in.

Distributed and Scalable 

Elasticsearch shards and replicates data across nodes for high availability and petabyte-scale indexing with low latency.

Custom Scoring & Ranking

Advanced query DSL and re-scoring capabilities allow for domain-specific tuning and hybrid retrieval strategies.

Multi-Language Support 

Clients are available in Python, Java, JavaScript, Go, .NET, and more—simplifying developer integration across modern stacks.

Schema Flexibility 

Supports structured, semi-structured, and unstructured content across JSON, logs, documents, PDFs, chat, email, and more.

Integrated Security Model 

Role-based access control, field- and document-level permissions, TLS encryption, and audit logging are built in.

AI & LLM Integration Ready 

Native vector database support, embedding pipelines, and compatibility with third-party LLM frameworks make Elastic ideal for hybrid search (keyword + semantic).

HYPR Seek service leverages Elasticsearch where it’s strongest and extends it with Observata’s expert-led operational control, semantic search tuning, and managed delivery. 

Cost Control with Resource-Aware Scaling 

Centralize and analyze security data for faster threat investigations and compliance.

AI & LLM Integration Ready 

Native vector database support, embedding pipelines, and compatibility with third-party LLM frameworks make Elastic ideal for hybrid search (keyword + semantic).
HYPR Seek service leverages Elasticsearch where it’s strongest and extends it with Observata’s expert-led operational control, semantic search tuning, and managed delivery.

Cost Control with Resource-Aware Scaling 

Auto-scaling and index lifecycle management help reduce cost by aligning compute and storage with actual usage. .

What Makes Elastic Challenging To Self Manage

Self-managing without operational expertise blindsides teams 

  • Elastic is a toolkit, so outcomes depend entirely on how well those tools are configured, tuned, and managed.
  • As data grows, managing infrastructure resources like storage and network throughput becomes increasingly complex
  • Running Elasticsearch demands deep expertise across deployment, scaling, and cluster optimization.
  • Index management, shard allocation, and upgrade coordination create significant overhead for in-house teams.
  • Even well-funded Elasticsearch projects often stall due to operational complexity and lack of sustained expertise. 

HYPR Seek service eliminates these challenges by running Elasticsearch as a fully managed, production-tuned service, removing the operational burden while retaining all the benefits. 

A Search Layer That Embeds Into Your Architecture Flawlessly

Data Ingestion 

Sources include SaaS platforms, databases, file stores, logs, internal tools, and legacy systems. Connectors normalize and enrich this data for indexing. 

 

 Search Core 

Elastic applies semantic embeddings, indexes structured and unstructured data. Observata handles tuning, scaling, and uptime. 

 

Search Interface 

HYPR Seek can be integrated into intranets, web apps, or internal portals via APIs or prebuilt UI modules. Permissions, filtering, and analytics are built in. 

HYPR Seek service becomes the enterprise-wide search layer: contextual, scalable, and always up-to-date.

Outgrowing AWS ES or OpenSearch? Migrate to Elasticsearch 

Migrating to Elasticsearch lets you balance modern capabilities with predictable costs, expert delivery, and tailored AI-powered enterprise search. Our managed enterprise search service brings structure, control, and ensures smooth transition 

From OpenSearch to Elastic 

From AWS Elasticsearch to Elastic Stack

From Self-Managed AWS Elasticsearch to Elastic Cloud 

Migration is free if you go for our managed HYPR Seek services..

Context-Aware Retrieval 

Combines semantic and keyword search using embedding models and hybrid ranking strategies.

Context-Aware Retrieval 

Combines semantic and keyword search using embedding models and hybrid ranking strategies.

Context-Aware Retrieval 

Combines semantic and keyword search using embedding models and hybrid ranking strategies.

Context-Aware Retrieval 

Combines semantic and keyword search using embedding models and hybrid ranking strategies.

Each feature supports secure, scalable, and context-aware search across your enterprise data. 

Context-Aware Retrieval 

Combines semantic and keyword search using embedding models and hybrid ranking strategies.

Context-Aware Retrieval 

Combines semantic and keyword search using embedding models and hybrid ranking strategies.

Context-Aware Retrieval 

Combines semantic and keyword search using embedding models and hybrid ranking strategies.

Context-Aware Retrieval 

Combines semantic and keyword search using embedding models and hybrid ranking strategies.

Advantages You Gain With HYPR Seek Service 

Context-Aware Retrieval 

Combines semantic and keyword search using embedding models and hybrid ranking strategies.

Search Usage Analytics

Connects to SaaS apps, databases, files, and logs with schema mapping, data enrichment, and failure monitoring included. 

Managed Ingestion Pipelines

Connects to SaaS apps, databases, files, and logs with schema mapping, data enrichment, and failure monitoring included. 

UI + API Flexibility

Offers both a plug-and-play UI and API access to embed search into internal apps and portals. 

Multi-Source Indexing

Indexes structured and unstructured content into Elasticsearch across internal, cloud, and hybrid environments. 

Model-Agnostic Architecture

Supports integration with proprietary or third-party embedding models to customize semantic performance. 

Built-In Access Controls

Applies enterprise-grade RBAC and tenant isolation across all indexed content and search endpoints. 

Fully Managed Stack 

Includes Elasticsearch licensing, scaling, versioning, and cluster health management, handled by Observata. 

Each feature supports secure, scalable, and context-aware search across your enterprise data. 

Advantages You Gain With HYPR Seek Service 

Context-Aware Retrieval 

Combines semantic and keyword search using embedding models and hybrid ranking strategies.

Search Usage Analytics

Connects to SaaS apps, databases, files, and logs with schema mapping, data enrichment, and failure monitoring included.

Managed Ingestion Pipelines  

Connects to SaaS apps, databases, files, and logs with schema mapping, data enrichment, and failure monitoring included.

UI + API Flexibility

Offers both a plug-and-play UI and API access to embed search into internal apps and portals

Multi-Source Indexing

Indexes structured and unstructured content into Elasticsearch across internal, cloud, and hybrid environments.

Model-Agnostic Architecture

Supports integration with proprietary or third-party embedding models to customize semantic performance.

Built-In Access Controls

Applies enterprise-grade RBAC and tenant isolation across all indexed content and search endpoints.

Fully Managed Stack 

Includes Elasticsearch licensing, scaling, versioning, and cluster health management, handled by Observata.

Each feature supports secure, scalable, and context-aware search across your enterprise data. 

Advantages You Gain With HYPR Seek Service 

Context-Aware Retrieval 

Combines semantic and keyword search using embedding models and hybrid ranking strategies.

Search Usage Analytics

Connects to SaaS apps, databases, files, and logs with schema mapping, data enrichment, and failure monitoring included.

Managed Ingestion Pipelines  

Connects to SaaS apps, databases, files, and logs with schema mapping, data enrichment, and failure monitoring included.

UI + API Flexibility

Offers both a plug-and-play UI and API access to embed search into internal apps and portals

Multi-Source Indexing

Indexes structured and unstructured content into Elasticsearch across internal, cloud, and hybrid environments.

Model-Agnostic Architecture

Supports integration with proprietary or third-party embedding models to customize semantic performance.

Built-In Access Controls

Applies enterprise-grade RBAC and tenant isolation across all indexed content and search endpoints.

Fully Managed Stack 

Includes Elasticsearch licensing, scaling, versioning, and cluster health management, handled by Observata.

Each feature supports secure, scalable, and context-aware search across your enterprise data. 

HYPR Seek delivers more than expertise. It brings a complete, production-ready search experience tailored to how your teams work. 

Flexible Service Models Aligned to Your Operations 

HYPR Seek service is delivered in three managed service tiers, designed to match your internal capabilities, infrastructure preferences, and control requirements. 

Core Features

Operated

Serviced 

Assisted  

Elastic Licensing

Fully managed Elastic
licensing, eliminating
procurement and renewal
complexity.

SLA-based Operations

All services are delivered
under defined SLAs for
uptime, response, and
performance.

Infrastructure

Deploy on cloud or hybrid
infrastructure; SLA-based
operations included 

Ingestion Management

Setting up, managing, and
reviewing ingestion
pipelines is handled fully by
Observata where applicable.

Data Optimization

Tune ingestion and storage
to reduce noise, control
cost, and improve query
performance.

Data Analysis

Structured, real-time
insights from logs,
metrics, traces, events,
and profiling data.

On Demand Resources

Access experts as needed
for advisory,
troubleshooting, or
operational support.

Reports

Reports that highlight
system behavior,
performance trends, and
risk signals.

Knowledge Transfer

Upskill your internal teams
on usage, dashboards, and
operational workflows.

Data Migration

Full transition from
existing tools to Elastic
with no data loss or
downtime.

Support

SLA-driven support and
issue resolution.

Operated

Serviced

Assisted

Observata provides the Elastic license for all tiers

Frequently Asked Questions

Enterprise search AI uses semantic search powered by AI models and vector embeddings to understand meaning, not just keywords. It retrieves more accurate results by analyzing the context of the query, even when exact terms don’t match. 

This enables users to search across documents, emails, chat logs, and internal tools with natural language, improving precision and relevance. It’s ideal for large, unstructured datasets where traditional keyword search fails. 

Elasticsearch stores data as JSON documents inside indices, which are divided into shards and replicas for performance and reliability. It builds inverted indices to search keywords quickly and supports vector fields for AI-driven search using semantic models. 

Elasticsearch can handle structured, semi-structured, and unstructured content from logs, databases, and file systems. It’s also accessible through APIs in Python, Java, JavaScript, Go, and .NET, making it flexible for enterprise applications. 

A self-managed Elasticsearch deployment requires your team to install, configure, monitor, and scale the system along with managing upgrades, licenses, and security. A managed Elasticsearch service like HYPR Seek takes care of everything: Elastic licensing, infrastructure, ingestion pipelines, performance tuning, and 24/7 expert support. This allows enterprises to focus on search outcomes instead of operations while still benefiting from the full power of Elasticsearch. 

Yes. HYPR Seek includes full Elasticsearch licensing as part of the service. That means access to all Elastic features like vector search, machine learning, Kibana dashboards, role-based security, and APM capabilities without separate contracts or vendor negotiations. Observata manages all licensing and compliance as part of the service delivery. 

Elasticsearch is optimized for real-time search at scale. It uses inverted indices, caching, and distributed query execution to return results in milliseconds, even for large datasets. 

Built on Apache Lucene, it supports parallel querying, smart resource usage, and quick aggregations. These features make Elasticsearch a top choice for high-performance enterprise search platforms.