AI Solutions

AI that earns its place in your business.

Copilots, agents and models that save hours and create revenue — grounded in your data, measured before launch and deployed privately. Built with fifteen years of software engineering discipline.

Get a free AI review Estimate your ROI

2 wksDiscovery sprint

4–6 wksProof of concept

9+Models & platforms

100%Your data, your cloud

Operations AgentPRIVATE · AWS BEDROCK

Summarise last month’s support tickets and suggest what to fix first.

read 4,812 tickets · grouped into 6 themes

Three issues cause 61% of tickets: password reset on iOS, invoice download timeouts, and SSO after session expiry. Fixing the first two should cut volume by roughly 40%.SOURCE: ZENDESK · SEP 1–30

Create Jira tickets for the top two.

Created ENG-412 and ENG-413 with reproduction steps. Awaiting your approval to assign.

How it works 01

Production AI is a system, not a prompt.

Every solution we ship has the same five layers — so it’s accurate, safe and connected to the tools your team already uses.

01 · DATA

Your knowledge

Docs & PDFs
Databases
CRM
Help desk

02 · RETRIEVAL

Search & tools

Vector search
LangChain
API tools
Re-ranking

03 · MODELS

The right model

OpenAI GPT
Claude
Gemini
Llama

04 · GUARDRAILS

Safety & quality

PII redaction
Evaluations
Human approval
Audit logs

05 · DELIVERY

Where people use it

Web app
Mobile
Slack / Teams
Voice

Use cases 02

What AI can do in your industry.

Pick your industry to see where our clients typically start.

Support copilot

Resolves common tickets with sourced answers and hands off the rest.

↓ ticket volume

Knowledge search

Cited answers across Drive, SharePoint, Confluence and databases.

↓ time searching

Document processing

Extract and validate data from invoices, forms and contracts.

↓ manual entry

Workflow agents

Multi-step tasks across CRM, ERP and email — with approval.

↑ throughput

Visit summaries

Draft clinical notes from consultations for clinician review.

↓ charting time

Patient scheduling

Voice and chat assistants that book, remind and reschedule.

↓ no-shows

Claims & intake

Read referrals and insurance forms into structured records.

↓ admin hours

HIPAA-aware design

Private deployments, PII redaction and full audit trails.

✓ compliance-ready

Underwriting assistant

Reads statements, flags risk and drafts credit memos.

↓ decision time

Fraud signals

Models that score transactions and surface anomalies.

↓ losses

KYC automation

Document checks and data extraction for onboarding.

↑ onboarding speed

Advisor copilots

Policy and product answers with sources for front-line staff.

↑ consistency

AI product search

Shoppers describe what they want in plain language.

↑ conversion

Recommendations

Personalised bundles and “complete the look” suggestions.

↑ order value

Catalogue content

On-brand product descriptions and SEO copy at scale.

↓ content cost

Order assistant

Tracks orders, handles returns and answers sizing questions.

↓ support tickets

In-product copilot

An assistant inside your app that knows your users’ data.

↑ retention

Churn prediction

Flags at-risk accounts early for customer success.

↓ churn

Docs assistant

Answers developer and customer questions from your docs.

↓ onboarding time

Sales research agent

Enriches leads and drafts personalised outreach.

↑ pipeline

Route optimisation

Smarter routes from traffic, capacity and delivery windows.

↓ fuel spend

Predictive maintenance

Spots failing vehicles and equipment before breakdowns.

↓ downtime

Freight documents

Reads bills of lading, invoices and customs forms.

↓ manual entry

Demand forecasting

Plans capacity and inventory with better forecasts.

↑ utilisation

ROI estimator 03

What could AI give back to your team?

Move the sliders to get a rough idea. We’ll refine it with real numbers during a free AI review.

People doing repetitive work 10 Hours per person, per week, on that work 10 Share AI could take over 40% Loaded cost per hour (USD) $45

Estimated value per year

0hours returned per year

0full-time equivalents

A rough illustration only, based on 48 working weeks. Real results depend on your workflows and data.

Validate this with a free review

Ways to start 04

From idea to impact in weeks.

2 weeks

AI discovery sprint

Find and validate your highest-value AI opportunities.

Use-case workshop
Data readiness review
Prototype and ROI estimate

Book a sprint

4–6 weeks · most chosen

Proof of concept

A working system on your real data, with measured results.

Functional MVP
Evaluation report
Security review

Start a PoC

8–16 weeks

Production rollout

Integrated, monitored AI your team relies on daily.

Full integrations
Monitoring and cost control
Training and handover

Plan a rollout

Models & platforms 05

Model-agnostic, by design.

We pick the model per task — balancing accuracy, speed, cost and privacy — and can switch as better models arrive, without rebuilding your product.

OpenAI

Claude

Gemini

Llama

LangChain

Hugging Face

Ollama

TensorFlow

PyTorch

Security & governance 06

Responsible AI, built in from day one.

Private deployment

Run in your own AWS, Azure or Google Cloud tenancy — or on-premises.

No training on your data

Enterprise APIs with zero data retention, or self-hosted open models.

PII protection

Personal data detected and redacted before it reaches a model.

Measured accuracy

Evaluation sets and automated tests before every release.

Humans in control

Approvals for sensitive actions, clear limits and kill switches.

Full audit trail

Every prompt, source and action logged for review and compliance.

FAQ 07

AI questions, answered.

AI strategy and discovery, generative AI and LLM applications, AI agents and automation, RAG chatbots and enterprise search, document, vision and voice AI, predictive machine learning, and MLOps with evaluation and governance.

We are model-agnostic and work with OpenAI GPT models, Anthropic Claude, Google Gemini, Meta Llama, Mistral and open-source models, deployed through Azure OpenAI, AWS Bedrock, Google Vertex AI or self-hosted infrastructure.

A focused proof of concept usually takes 2 to 6 weeks. Production systems with integrations, security review and monitoring usually take 8 to 16 weeks.

We ground answers in your verified data with retrieval-augmented generation, show sources, constrain outputs, add clear fallback rules and run automated evaluations before every release.

Yes. We deploy inside your own cloud or on-premises, use enterprise APIs with zero data retention, redact personal information and design for HIPAA, GDPR and SOC 2 requirements.

A two-week AI discovery sprint is a small fixed fee. Proofs of concept are typically priced as fixed-scope projects, and production rollouts are estimated after the proof of concept, when real accuracy and usage data are available.

Free AI opportunity review 48h

Not sure where AI fits? We’ll find your first win — free.

Tell us about your team and the work that eats the most hours. We’ll come back with two or three concrete AI use cases, a rough ROI and a plan to prove one in weeks.

Get my free estimate +91-99790-19197

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You own 100% of the code

What you’ll receive FREE

Scope outlineFeatures, phases and priorities
TimelineMilestones from kickoff to launch
Transparent estimateFixed or ranged, in USD
Team & tech planWho builds it, and with what

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