Applied AI. Thoughtful engineering.

Build what comes next.
With AI.

Bring intelligence into your everyday business. Suziyan offers AI application development, technology consulting, software engineering and automation services that connect your data, people and systems. From the first use case to the next product release, let's build with a clear purpose.

AI solutions, software delivery and specialist talent.

Based in India. Open to collaborations in India, the US and the UK.

AI services

Make AI useful.
Then make it reliable.

Start with a specific problem and a measurable acceptance criterion. Our service scope brings together discovery, implementation and evaluation, shaped around your data and operating constraints.

01 / Knowledge

Generative AI applications

Build assistants that retrieve information from approved documents and return answers with source references. Scope includes retrieval-augmented generation (RAG), search, model integration and response evaluation.

Explore: an internal knowledge assistant for your team.

02 / Workflows

Agents and intelligent automation

Connect AI to business tools through APIs. Design workflows for document processing, request routing and routine tasks, with human approval before consequential actions.

Explore: a document intake and review workflow.

03 / Decisions

Data science and applied ML

Prepare business data for analysis, build predictive models and make results usable through dashboards or application APIs. Define baselines and evaluate performance on representative data.

Explore: demand forecasting or operational reporting.

04 / Deployment

AI integration and operations

Integrate AI features into existing software. Plan access controls, evaluation datasets, monitoring, cost limits and fallback behavior so a pilot has a practical route into daily use.

Explore: a monitored AI feature in an existing product.

These are example project scopes, not published client case studies. Deliverables and success measures are agreed during discovery.

Software services

Strong engineering behind every intelligent experience.

AI is one part of the system. Build the applications, integrations and delivery foundations that make it useful.

Product and application development

Web applications, business portals, backend services and API integrations, from requirements and architecture through implementation.

Application modernization

Assess existing applications, improve maintainability, refactor services and plan incremental migrations around business continuity.

Cloud and DevOps

Deployment pipelines, containerization, infrastructure automation and observability across AWS, Azure or Google Cloud environments.

Quality engineering

Web, mobile and API test automation, data validation and performance testing using tools such as Playwright, Selenium, Appium and k6.

Data platforms and analytics

Data pipelines, SQL and NoSQL integrations, reporting datasets and dashboards that bring operational information together.

Digital experience and growth

Website development, technical SEO, CRM integrations and marketing automation to connect digital experiences with customer journeys.

Business & technology consulting

Choose the right problem.
Plan the next step.

Turn business priorities into a practical delivery plan. Work with Suziyan to assess opportunities, make technology decisions and prepare your people for change.

01 / Direction

AI readiness and strategy

Review data availability, identify useful AI opportunities and prioritize them by feasibility and business value.

Deliverable: a prioritized use-case shortlist and pilot plan.

02 / Architecture

Technology roadmaps

Assess applications and integrations, compare build-or-buy options and sequence modernization around budget and dependencies.

Deliverable: an architecture outline and phased implementation roadmap.

03 / Operations

Process and digital experience

Map workflows and user journeys to identify manual handoffs, automation opportunities and clearer service experiences.

Deliverable: a proposed workflow and improvement backlog.

04 / Adoption

Team enablement and change

Plan ownership, training and feedback as new tools enter daily work, with clear responsibilities for human review.

Deliverable: an adoption plan and team guidance.

Engagement models

The right starting point for your next challenge.

Choose a focused discovery engagement, a defined delivery project or specialist talent to extend your team. Scope, responsibilities and milestones are agreed together.

01

Discovery and prototyping

Clarify the use case, assess data and integration needs, and test feasibility with a focused prototype.

02

Project delivery

Work toward agreed deliverables with implementation milestones, quality checks and a documented handover.

03

Dedicated engineering support

Bring development, FDE, AI, QA or cloud specialists into your delivery workflow for an agreed scope and duration.

04

Technology talent partnerships

Contract and permanent hiring support for engineering and delivery teams, alongside vendor collaboration.

Skill areas

Specialist skills for hands-on implementation.

Discuss the expertise your project needs across software engineering, AI, data, cloud, quality engineering and digital growth.

Forward Deployed Engineering

Forward Deployed Engineers need a blend of deep implementation skill, modern AI stack fluency, and strong client-facing execution.

  • Core coding and data: Python, JavaScript, SQL, RESTful and GraphQL integrations.
  • AI and modern stack: LLM prompting, RAG pipelines, vector databases, and agent orchestration workflows.
  • Cloud and infrastructure: AWS, Azure, or GCP with Docker and Kubernetes deployment support.
  • Business-side strength: client communication, requirement translation, and ambiguity handling in fast-moving delivery environments.

Software engineering

Engineering foundations for maintainable applications, dependable integrations and scalable systems.

  • Programming languages: Python, Java, JavaScript, C++, Go, and adjacent backend or frontend ecosystems.
  • Core engineering depth: data structures, algorithms, performance awareness, and scalable problem solving.
  • Databases and APIs: SQL, NoSQL, data modeling, REST, gRPC, and service integration patterns.
  • System design and architecture: distributed systems, microservices, high-scale workloads, and resilient application design.
  • Modern infrastructure: Git, GitHub workflows, CI/CD, Docker, Kubernetes, and cloud deployment on AWS, Azure, or GCP.

Software automation quality engineering

Test automation across web, mobile, APIs, databases and performance, integrated into the delivery lifecycle.

  • Programming and framework design: Java, Python, or JavaScript with reusable automation architecture and strong Git workflows.
  • Web and mobile automation: Playwright, Selenium, Appium, dynamic element handling, and cross-browser or cross-device execution.
  • API and backend testing: REST Assured, Playwright API workflows, JSON or XML validation, auth handling, and request chaining.
  • Database testing: SQL validation, backend data integrity checks, data-driven execution, and setup or cleanup hooks.
  • Performance engineering: JMeter, k6, or Gatling with load models, response-time analysis, and bottleneck identification.

AI engineering

GenAI application engineering, prompt engineering, agent workflows, ML engineering, and applied AI roles.

Data science and analytics

Data science, analytics engineering, BI, data engineering, experimentation, and reporting talent.

Cloud and platform

AWS, Azure, DevOps, infrastructure automation, SRE, platform support, and environment reliability roles.

Digital marketing and growth

SEO, paid media, CRM, lifecycle automation, marketing operations, demand generation, and growth support.

Why Suziyan

A practical partner for your next build.

Business context first

Define who will use the solution, which problem it addresses and how the result will be evaluated.

Engineering with oversight

Plan testing, data access and human review as part of the solution, especially for AI-assisted decisions.

Clear delivery ownership

Agree responsibilities, review progress at milestones and document the work for handover and maintenance.

Process

From a business question to working software.

Step 1

Discover

Understand the problem, existing systems, data readiness, budget and intended users.

Step 2

Validate

Define acceptance criteria and prototype the uncertain parts before committing to a broader build.

Step 3

Build and test

Implement in reviewable increments, test integrations and evaluate behavior against agreed requirements.

Step 4

Deploy and improve

Prepare deployment, documentation and monitoring, with ongoing support scoped to your needs.

Contact

What would you like to build?

Tell us about your consulting need, AI idea, software project or talent requirement. We can discuss the scope, technical approach and a useful first step.

Email contact@suziyan.in Phone +91 8309701571

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