Document AI & Knowledge Search
Turn contracts, reports and archives into an intelligent knowledge base your team queries in plain language — answers grounded in your documents, never invented.
Hours of reading → seconds of asking
We design and deliver production-grade AI — agentic workflows, document intelligence, assistants and ML — backed by 20+ years of enterprise engineering for global clients.
Trusted across direct client work & partner-led delivery
Not demos. Every solution ships with evaluation suites, monitoring, human-in-the-loop controls, and deep integration with your existing platforms.
Turn contracts, reports and archives into an intelligent knowledge base your team queries in plain language — answers grounded in your documents, never invented.
Customer-facing and internal assistants that actually resolve issues — connected to your systems, aware of your policies, escalating to humans exactly when they should.
AI agents that execute multi-step processes end-to-end — reading documents, calling your systems, validating data — with human approval on the decisions that matter.
Machine learning where it beats guesswork — forecasting demand, scoring risk, detecting anomalies and recommending next actions from your historical data.
Agentic AI goes beyond chat: systems that plan a task, work across your applications through secure integrations, and carry multi-step processes to completion — pausing for human sign-off at the moments that matter.
An email, document, ticket or schedule — picked up instantly.
Breaks the task into steps; decides what data and systems it needs.
Reads documents, calls your APIs, prepares the output.
Key decisions, financial actions and exceptions wait for sign-off.
Every step recorded for audit and improvement.
Approvals, financial actions and customer-impacting steps always route to a named person. AI recommends — your people decide.
Unusual or low-confidence items go to a review queue with full context, instead of being silently auto-processed.
Every agent step, data source and approval is logged. You can always answer "who approved this, and based on what?"
Your team shifts from doing to reviewing — minutes per item instead of hours — while oversight actually increases.
The speed and cost profile of automation, with the judgment and accountability of your best people.
Omilos brings AI to the legal domain in India — grounded legal research, judgment summarization and drafting assistance over massive legal corpora. Our client owns the product; Softwiz engineered every layer: retrieval pipelines, guardrails, citation integrity and the security model a sensitive domain demands.
Production-ready and in final testing, Omilos launches to users by end of 2026.
Plain-language questions over case law and statutes, with grounded, citable answers.
Judgments, contracts and filings summarized — key points in minutes.
AI-assisted first drafts, always reviewed by a human professional.
Source-grounded answers, citation integrity, strict confidentiality by design.
Typical target ranges for well-scoped automation of repetitive, document-heavy workflows — validated with you during a measured pilot before any scale-up.
The biggest risk in enterprise AI is careless handling of company data around the model. Security is designed in from day one of every engagement.
Azure OpenAI, AWS Bedrock, Anthropic enterprise APIs or self-hosted open models in your cloud. Your data never trains public models.
TLS in transit, AES-256 at rest, keys in cloud KMS / Key Vault. Secrets never live in code or logs.
Sensitive fields detected and masked before reaching any model — models see only what each task requires.
Role-based access on every AI feature; assistants only surface what a user is already entitled to see. Every interaction logged.
Grounded answers with citations, confidence thresholds, and approval gates on agent actions. AI drafts, people decide.
Deployments pinned to your region — India, Australia, Singapore, US or EU — so data never leaves your jurisdiction.
We map your workflows and data, find the highest-ROI AI opportunities, and define success metrics. You get a prioritized AI roadmap with a clear business case.
A working system on your real data for one high-value use case, measured against an agreed baseline. Fixed scope, fixed cost, evidence-backed go/no-go.
We harden the pilot into production — integrations, monitoring, security review — then extend across teams, with your staff trained to own it.
AI lands best on solid engineering. We've spent two decades building the systems AI now plugs into — and we still build them.
.NET, Java, React and Angular applications on AWS and Azure — microservices, APIs and systems handling millions of transactions daily.
Native Android and cross-platform Flutter apps — where Softwiz began, and still going strong.
Legacy migrations, database performance, DevOps and CI/CD — making existing systems faster, cheaper and AI-ready.
Our AI plugs into real ERPs, CRMs and legacy platforms — landing in production, not a proof-of-concept graveyard.
We engineered a complete AI product end-to-end — owning accuracy, latency, cost and trust as build decisions.
Clients in the USA, Singapore and Australia, powered by a senior engineering hub in Bangalore — enterprise output, ROI-positive economics.
Data protection designed in, results measured out. Systems your CFO and CISO can both sign off on.
Start with a no-obligation discovery conversation — we'll identify your top three AI opportunities and the business case for each.