Custom AI Applications & RAG

AI Grounded in Your
Data & Knowledge

We build custom AI applications and retrieval-augmented systems that connect models to your documents, databases, and business processes - so answers stay accurate, traceable, and aligned with how your organization works.

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RAG Systems Deployed
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Documents Indexed
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Answer Groundedness
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Platform Availability
app.pantech.ai/dashboard Operations Dashboard Revenue $1.2M Orders 3,482 Conversion 4.8% Monthly Sales Team Efficiency AI models active: 3 Recent Activity Synced Report generated AI Assistant Generate monthly sales report Sales report generated. Ask anything…
ENTERPRISE AI
Capabilities

Custom AI &
RAG Capabilities

Connect large language models to your documents, databases, and workflows so every answer is grounded, auditable, and useful in real business processes.

RAG systems

RAG Systems

Build retrieval-augmented generation pipelines that fetch the right context from your knowledge base before the model responds - reducing hallucinations and grounding answers in your data.

RAGRetrievalGrounding
Vector search

Vector Search

Index embeddings of documents, tickets, and product data for semantic search that understands meaning - not just keywords - across large enterprise corpora.

EmbeddingsSemantic SearchIndex
Knowledge assistants

Knowledge Assistants

Deliver secure assistants for employees and customers that answer from approved knowledge, cite sources, and respect roles, permissions, and retention policies.

AssistantsCitationsAccess Control
Custom AI applications

Custom AI Apps

Design and ship tailored AI applications for your workflows - from internal tools to customer-facing products - with models, UI, and integrations built around your process.

ApplicationsWorkflowsProduct
Document intelligence

Document Intelligence

Extract, classify, summarize, and question large document collections - contracts, manuals, policies, and reports - with structured outputs and human review hooks.

DocumentsExtractionSummarization
Enterprise AI integration

Enterprise AI Integration

Connect RAG and custom AI apps to CRM, ERP, ticketing, data warehouses, and identity systems so intelligence fits existing operations and security models.

APIsERP/CRMSecurity
Development process

Our Custom AI & RAG Process

01

Use-Case & Knowledge Map

Identify high-value questions, document sources, systems of record, and success metrics for grounded AI.

02

Data & Corpus Prep

Collect, clean, chunk, and structure documents, tickets, and database content for reliable retrieval.

03

Embedding & Index Design

Choose embedding models, vector stores, and metadata filters tuned to your domain and scale.

04

RAG Pipeline

Build retrieval, reranking, and prompt assembly so the model sees the right context every time.

05

Application Layer

Design knowledge assistants and custom AI apps with citations, guardrails, and workflow actions.

06

Enterprise Integration

Connect to identity, CRM, ERP, and internal APIs with audit logs and least-privilege access.

07

Evaluation

Measure groundedness, relevance, latency, and user satisfaction with offline and online tests.

08

Deployment

Ship secure, monitored services with rate limits, fallbacks, and clear operational ownership.

09

Continuous Improvement

Refresh indexes, tune retrieval, expand corpora, and retrain evaluation sets from production feedback.

Business Impact

Outcomes that compound

Measurable results from custom AI apps and RAG systems we design, deploy, and continuously improve.

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Answer Groundedness
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Faster Knowledge Lookup
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Faster Document Review
0M+
Documents Indexed
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Platform Availability
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RAG Systems Deployed
Tech stack

Technologies We Use

We select models, vector databases, frameworks, and platforms for accuracy, latency, security, and enterprise integration.

Ready to Build Custom AI & RAG?

Connect models to your documents, databases, and workflows with retrieval-augmented systems and knowledge assistants your teams can trust.

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FAQ

Answers for technical & business stakeholders

Ground AI in Your Knowledge

Partner with our engineers to build RAG systems, vector search, knowledge assistants, and custom AI applications integrated with your enterprise data and processes.

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