AI Services

The AI Practice Built on Engineering Discipline.

From LLM integrations to Agents, SwaaS engineers AI that is accurate, governed, and built to perform in production environments.

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AI Capabilities

The Core AI Capabilities
Behind Every SwaaS Build

Every AI system SwaaS builds draws from eight core capabilities, each production-tested, each built to work as one connected system.

What We Build

AI Services That Go
From Concept to Production

Four practice areas. Each one covering a distinct AI capability. All of them delivered with the same FTR discipline and governance SwaaS applies to every build.

RAG

SwaaS builds RAG systems that index your enterprise data and make it queryable in plain language. Just accurate answers pulled from your own sources, in real time.

Sub-services:

Enterprise Data Indexing - Your data, structured, indexed, and ready for AI to retrieve accurately.
Natural Language Querying - Users query complex data in plain language and get precise, sourced answers instantly.

Conversational AI

SwaaS builds AI systems that hold real conversations and take real actions. From intelligent chatbots to agents that handle multi-step workflows end-to-end.

Sub-services:

Chatbots - Omnichannel AI assistants built on enterprise LLMs.
Agentic AI - Autonomous agents that reason, retrieve, and act across complex workflows with human oversight at critical decision points.

AI Applications

SwaaS has built AI applications across four use cases. Each one available as a reference build or customized for your specific environment.

Applications:

Sales Coach - An AI system that analyzes sales conversations, surfaces coaching insights, and helps reps close faster.
IDP (Intelligent Document Processing) - Extracts, classifies, and processes unstructured documents with AI accuracy and human-in-the-loop validation.
Ask-Your-Data - A natural language interface that lets anyone in your organization query internal data without writing code.
Service Assistant - An AI-powered support agent that resolves queries, escalates intelligently, and learns from every interaction.

Legacy Modernization-Powered by Arjun

SwaaS modernizes legacy codebases using Arjun, a six-agent AI pipeline that replaces chaotic, handoff-driven refactoring with a spec-driven, governed system.

What Agent Arjun covers:

Story + Spec - Business requirements converted into validated, testable specs before a line of code is written.
Code Analysis - Dependencies mapped, reusable code identified, migration blueprint produced.
Code Generation - Backend and frontend code generated from the spec, tailored to your existing stack.
Code Review - Every line of generated code reviewed for correctness, security, and performance. Up to three review cycles run before anything moves to the next stage.
Integration & Testing - Automated tests run, API contracts validated, data flow integrity confirmed.

Data to AI Practice

From Broken Data to
Business That Runs on
Intelligence

Most enterprises sit on data that lives in disconnected systems, structured in different ways, accessible only to specialists. SwaaS connects it, structures it, and builds AI on top of it so your business stops reacting and starts deciding.

Enterprise Data

AI-Native SDLC with agent pipeline across Spec, UI, Dev, and QA. Built to reduce rework and increase shipping velocity.

Foundation Models

Once the data is structured and integrated, SwaaS builds RAG systems and foundation models that extract meaning from the data and surface decisions, not just reports.

Autonomous Agents

With intelligence in place, SwaaS deploys agents that act on it. They handle complex decisions, trigger workflows, and improve with every cycle.

Business Outcomes

The result: faster operations, reduced costs, and teams no longer buried in manual work. Your people focus on strategy. The system handles the rest.

AI Tech Stack

AI Stack
Architecture

A layered AI stack architecture built for accuracy, governance, and deployment at scale. Every component is connected, from foundation models to the interfaces your users interact with.

Search and Retrieval

LangChain
LlamaIndex

LLM Providers

OpenAI
Perplexity
Anthropic
Hugging-Face LLM

Data Storage

Pinecone
SQL Server
MySQL
PostgreSQL
PGvector
FAISS

• Voice • Text

• Video • Image

Intent Classifier

RASA
Google Dialogflow CX

Infrastructure

Docker
Azure
AWS Cloud
Google Cloud

Tech Stack

React
Flutter
GraphQL
Python
Node.js
Fast API
Langchain

Agent Pipeline

AI-Native Dev
Pipeline, Built by
SwaaS.

AI Native Pipeline based on years of delivery experience. Agent Arjun is a development pipeline, a set of agents that turn your development process into a governed pipeline.

Arjun

Our AI-Native
Development Engine

How It Works

What Happens Inside
an AI Agent

Every AI agent SwaaS builds follows the same six-step reasoning loop, from the moment a query arrives to the moment it is resolved, with human oversight.

User Query

Understanding user intent and context

Reasoning

Analyzing and
breaking down the problem

Retrieval

Finding relevant information and evidence

Tool Usage

Calling tools and
APIs to take action

Action

Executing the
decided actions

Resolution

Delivering the output

SwaaS Agents AI combines continuous reasoning, multi-step tool orchestration, and human-in-the-loop governance. The result: self-improving systems that operate within defined guardrails and get more accurate with every cycle.

SwaaS AI Governance

AI That Earns
Trust at Every Layer

SwaaS governs every AI system it builds, from the first commit to the final deployment. Five layers. No exceptions.

Built Bias-Free from the Start

Models are tested across diverse data sets and edge cases before deployment. When bias is found, it is fixed before the system goes live, not after.

Compliance Before the First Commit

Regulatory requirements are mapped at the scoping stage. Architecture built around them from day one, not retrofitted to fit them later.

Human Validation at Every Decision Point

Critical decisions require human sign-off before the system acts. Autonomy only goes where validation and approval have cleared it.

Full Visibility into Every AI Action

Every action an AI system takes is logged, monitored, and traceable in real time. No black boxes. No unexplained outputs.

Governance Baked In

Not a layer added after the fact. SwaaS builds governance into the architecture from day one: data handling, model behaviour, and system boundaries.

Results That Speak

AI That Moves
the Needle

Every metric here came from a live engagement, a real client, and a system that went to production.

97%

On-Time Delivery

Every sprint. Every engagement. No exceptions.

20+ Agents Built

Purpose-built, tested, and deployed in live production environments.

3X Productivity Gained

Decisions made three times faster using AI-powered insights from live data.

17+ Years of Expertise

Enterprises trust SwaaS with their most critical systems.

Faster Time to Market

Less rework. Fewer sprint overruns. More predictable launches.

200+

Minds behind the work

Engineers, architects, data scientists, and delivery leads. All own the outcome.

In Our Own Words

Built From Experience.
Written the Same Way.

No opinions. Just patterns, observations, and lessons from live AI engagements.

Beyond the Bots The 4-Phase Sequence That Takes Automation from 60% to 90%+

Your Enterprise Already Has Data.
Now Give It Intelligence.

SwaaS builds AI systems that reason, act, and improve on your existing data. Governed from day one. Delivered with the discipline that gets it to production.

Build Your AI System