Move Beyond AI Prototypes.
Engineer Production-Grade Systems.

We design, develop, integrate, and deploy intelligent AI systems that understand, reason, generate, and act. From custom foundation model pipelines to autonomous agentic architectures, Pragmatica builds resilient, enterprise-grade software assets built for security, scale, and measurable ROI.

Schedule Consultation Explore Capabilities

Sub-Second Latency Optimized token caching & local SLMs

Zero Data Retention Your data never trains public models

Private VPC & On-Prem Dedicated cloud or air-gapped hosting

Deterministic Evals Automated CI/CD regression testing

PyTorch

LangGraph

OpenAI

Claude 3.5

Llama 3

vLLM

Cohere Rerank

TensorRT-LLM

Pinecone

Kubernetes

AWS Bedrock

PyTorch

LangGraph

OpenAI

Claude 3.5

Llama 3

vLLM

Cohere Rerank

TensorRT-LLM

Pinecone

Kubernetes

AWS Bedrock

ARCHITECTURAL FOUNDATION

The Intelligence Spectrum

Enterprise AI engineering requires choosing the right balance between generative creativity, deterministic retrieval, and autonomous decision-making.

Generative AI & LLMs

Domain-adapted foundation models with structured schema outputs, tailored prompt architectures, and task-specific fine-tuning for high accuracy.

Knowledge & Retrieval

Hybrid semantic retrieval pairing vector embeddings with enterprise knowledge graphs to ground model outputs in verifiable corporate truth.

Agentic Systems

Goal-directed autonomous loops capable of multi-step planning, tool selection, external API execution, and stateful memory across enterprise workflows.

WHAT WE DELIVER

Production AI Systems We Build

Concrete software products and intelligent applications engineered to solve high-value business challenges and scale reliably.

Enterprise AI SaaS Platforms

Commercial multi-tenant software engineered with dedicated vector namespaces, per-seat and per-token usage metering, dynamic model routing, and sub-second caching.

Multi-tenant data isolation and role-based access

Dynamic model fallback to control token unit economics

High-throughput streaming API endpoints with rate limiting

Autonomous Operations & Support Agents

Agentic systems that move beyond scripted chatbots to diagnose technical inquiries, verify customer records across billing and CRM databases, and resolve tickets autonomously.

Hierarchical planner-worker execution loops

Deterministic API tool calling with confidence scoring

Seamless human-in-the-loop escalation checkpoints

Internal Enterprise Knowledge Assistants

Unified internal intelligence querying across fragmented documentation, Notion, Confluence, Jira, and SQL databases with verified source citation lineage.

Hybrid dense vector search combined with knowledge graph linking

Zero hallucination guarantee backed by precise source attribution

Document-level access control honoring Okta and Azure AD permissions

Intelligent Document Analysis Systems

High-throughput multimodal extraction and validation pipelines that process complex PDFs, financial disclosures, legal agreements, and technical schematics into clean data schemas.

Multimodal vision-language models for intricate table parsing

Automated business rule validation and anomaly flagging

Direct ERP, CRM, and database sync for downstream automation

FULL-LIFECYCLE EXPERTISE

Enterprise AI Engineering Capabilities

We provide deep, hands-on engineering across every layer of the AI technology stack, from mathematical model alignment to high-concurrency cloud infrastructure.

Generative AI & LLM Applications

Bespoke generative applications engineered for domain-specific accuracy, strict JSON schema output contracts, and specialized task fine-tuning.

AI Agents & Agentic Systems

Autonomous multi-step execution harnesses that decompose complex objectives into sequential tasks, call external APIs, and maintain persistent state.

RAG & Knowledge-Based AI

Industrial retrieval architectures indexing complex enterprise repositories using hybrid dense vector search, sparse keyword matching, and knowledge graphs.

AI Model Integration & Orchestration

Dynamic model routers that evaluate prompt complexity in real time, dispatching tasks to frontier models or cost-effective local SLMs with automated failover.

AI Chatbots & Intelligent Assistants

Context-aware conversational copilots integrated into CRM and ERP systems, providing omnichannel intent resolution and verified human handoffs.

Computer Vision & Visual AI

Extracting structured intelligence from visual data, including high-throughput table OCR, defect inspection, and real-time video stream analytics.

Natural Language Processing

Linguistic and semantic parsing of complex contracts, legal disclosures, and medical records, including clause validation and Named Entity Recognition.

AI APIs & System Gateways

Production REST, gRPC, and real-time streaming gateways that integrate AI intelligence into existing enterprise stacks with zero-trust token authentication.

AI Evaluation & Guardrails

Automated regression test suites that measure factual accuracy against golden datasets, combined with real-time input sanitization to block injection risks.

AI Infrastructure & Deployment

Dedicated inference clusters powered by vLLM and TensorRT-LLM on GPU instances, Kubernetes autoscaling, and private endpoints on AWS, Azure, or GCP with end-to-end tracing.

HOW WE DELIVER

The Engineering Lifecycle

A disciplined, phased delivery framework designed to validate technical feasibility early, protect your budget, and scale reliably into production.

Architecture Discovery & Feasibility Benchmarking

We analyze your business objectives, audit existing data assets, establish baseline latency and cost budgets, and construct initial golden evaluation datasets to prove model viability.

Data Architecture & Retrieval Engineering

We build production-grade ingestion pipelines with semantic chunking, construct vector indices and knowledge graphs, and fine-tune task-specific model weights where domain adaptation is required.

Evaluation Harnesses & Security Guardrails

We implement automated CI/CD testing suites to catch context drift and factual regressions, enforce strict typed output schemas, and deploy real-time guardrails for PII redaction and injection defense.

Production MLOps & Dedicated Cloud Scale

We deploy the verified architecture into your dedicated private VPC (AWS, Azure, GCP) or on-premises servers, complete with autoscaling GPU clusters, token caching, and real-time observability.

Your Data. Your Weights. Your Infrastructure.

We engineer AI systems under strict zero-data-retention principles, guaranteeing that client intellectual property, embeddings, and fine-tuned weights never enter public foundation model training sets. We deploy entirely within your private boundaries with full SOC 2, HIPAA, and role-based access compliance.

Zero Data Retention

Private Cloud VPC

SOC 2 & HIPAA Ready

Let’s connect!

Ready to Transform your Business?

We’re happy to answer any questions you may have and help you determine which of our services best fit your needs.

+(91) 8588841113
Contact@pragmaticaclouds.com
Saket, Delhi,India

Move Beyond AI Prototypes.
Engineer Production-Grade Systems.