What We Do
Our Services
Six capabilities, one team — AI, backend and cloud, enterprise platforms, full-stack products, automation, and technical talent.
AI & Generative AI Solutions
Design and deploy production-grade AI systems — LLMs, RAG pipelines, agentic workflows, conversational AI, and real-time voice AI agents built to scale.
Backend, Cloud & Infrastructure
End-to-end engineering from high-performance microservices and event-driven systems to cloud-native deployments, CI/CD automation, and MLOps pipelines at scale.
Enterprise Integration & Platform
Integrate AI and modern software into complex enterprise ecosystems — SAP platforms, ServiceNow, Confluence, and identity systems — without disrupting existing operations.
Full-Stack Product Development
End-to-end product engineering from concept to production — intuitive frontends paired with robust backends, delivered at speed.
Intelligent Process & Workflow Automation
Automate repetitive business processes, connect SaaS tools, and build intelligent data pipelines — saving teams hundreds of hours a month without rebuilding your stack.
IT Staffing & Consulting
Access top-tier technical talent and strategic technology guidance to build high-performing teams and drive your digital transformation forward.
Our Tech Stack
Production-proven tools and frameworks we use to build, deploy, and scale.
Our Process
How We Work
A proven engineering process — from first conversation to production and beyond.
Discovery
We run a structured technical discovery — understanding your problem, existing architecture, constraints, and success criteria before a single line is written.
- Technical deep-dive call
- Existing stack & infra review
- Risk and feasibility assessment
Architecture & Planning
We design the system — data flows, component boundaries, tech selection, and integration touchpoints — and align on scope, milestones, and team composition.
- System design & ADRs
- Tech stack selection
- Sprint plan & milestone map
Iterative Development
Agile sprints with working software delivered every week. You see demos, give feedback, and the build evolves — no big-bang surprises at the end.
- Weekly sprint demos
- Continuous integration
- Transparent progress tracking
Testing & QA
Every feature goes through unit, integration, and end-to-end testing. For AI components we run evaluation frameworks and benchmark against defined quality thresholds.
- Automated test suites
- AI output evaluation
- Performance & load testing
Deploy & Launch
We set up CI/CD pipelines, observability, and alerting — then deploy to staging for UAT before a controlled production rollout.
- CI/CD & infra-as-code
- Monitoring & alerting setup
- Staged production rollout
Iterate & Scale
Post-launch, we stay close — monitoring system health, shipping improvements from real usage data, and scaling the team or infrastructure as demand grows.
- Post-launch monitoring
- Feature iteration cycles
- Team & infra scaling support
Our Work
Our Portfolio
A selection of AI and engineering solutions we have built and deployed in production.
AI Voice Bot Platform
Building an intelligent real-time voice AI platform for customer support and enterprise workflows — powered by frontier LLMs, STT, and low-latency TTS.
Enterprise IT Service Desk AI — MCP Agent & Teams Bot
Built a dual-component enterprise service desk AI system: a Claude MCP server with 24 tools across ServiceNow, Jira, and Confluence, plus a Microsoft Teams bot with GPT-4o intent routing — eliminating manual ITSM research through natural language. (Confidential client)
AI-Powered Candidate Screening & Evaluation Platform
Designed an AI-driven recruitment system to automate high-volume candidate screening using NLP pipelines and LLM-based contextual scoring.
Enterprise Knowledge Copilot (RAG-based AI System)
Built a context-aware enterprise assistant for interacting with large knowledge bases using RAG architecture with semantic search.
Large-Scale Image Comparison & Computer Vision Pipeline
Built a distributed system for high-volume image analysis using deep learning-based feature extraction with GPU-optimised processing pipelines.
Event-Driven Distributed Platform for Real-Time Systems
Architected scalable backend systems for high-throughput workloads using microservices, event streaming via Kafka and AWS SQS/SNS, and workflow orchestration with Temporal.
Intelligent Business Process Automation Platform
Built end-to-end automation workflows connecting CRM, HR, and finance SaaS tools using n8n and AI-powered triggers, eliminating manual handoffs across departments.
Enterprise AI Integration & Digital Transformation Layer
Integrated AI capabilities into enterprise ecosystems including SAP S/4HANA and NetWeaver with secure OData and REST APIs.
Industries We Serve
We've shipped production systems across verticals — bringing the same engineering rigour to every domain.
HR Tech & Recruitment
LLM-based candidate screening, interview automation, and AI-driven talent matching that cuts manual effort by over 70%.
Enterprise SaaS & IT Operations
RAG-powered knowledge copilots, AI service desk agents, MCP integrations across ServiceNow and Jira, and intelligent workflow automation for large-scale enterprise platforms.
Contact Centres & Voice AI
Real-time AI voice agents for inbound and outbound call automation — handling customer support, sales qualification, and enterprise workflows with sub-500ms latency.
E-Commerce & Retail
GPU-optimised computer vision pipelines for image similarity, visual search, and large-scale product catalogue intelligence.
Financial Services & FinTech
Event-driven distributed platforms, real-time transaction processing at millions of events per day, and AI-powered analytics for FinTech and financial operations.
Enterprise Integration & ERP
AI integration layers over SAP S/4HANA and NetWeaver, plus MCP and API-driven connectors into Confluence, Okta, and Active Directory — deployed on OpenShift and AWS.
Who We Are
About Snypar Technologies
Snypar Technologies is driven by a multidisciplinary core team with deep expertise in Artificial Intelligence, Generative AI, AI Voice Agents, agentic AI systems, distributed backends, and enterprise software engineering. From LLM-powered applications and real-time Voice AI bots to MCP-based service desk agents, enterprise ITSM integrations, and scalable cloud infrastructure — we combine advanced AI capability with real-world engineering rigour to ship production-grade solutions across diverse domains.
On the talent side, our approach goes beyond conventional staffing. We focus on understanding both the person and the opportunity — placing the right individual at the right time, in a role where they can genuinely contribute and grow, while ensuring clients get precisely the technical depth their challenges demand.
Deep Technical Expertise
Our core team brings hands-on production experience across AI, Generative AI, Voice AI agents, MCP-based agentic systems, distributed backends, and enterprise ITSM integrations — not just advisory knowledge.
Production-Grade Delivery
We build systems that run in production. Every solution is engineered for reliability, scalability, and long-term maintainability from day one.
Right Person, Right Place
Our talent philosophy is simple: match the right person to the right opportunity at the right time — creating value for both the individual and the client.
End-to-End Ownership
From requirement analysis to deployment and beyond, we take full ownership — ensuring what we ship actually solves the problem it was built to solve.
Client Stories
What Our Clients Say
Hear directly from engineering leaders on what it's like to work with us.
"The AI screening platform Snypar built completely transformed our hiring pipeline. What used to take our team three days of manual shortlisting now happens in under two hours. The LLM-based scoring is remarkably accurate — we saw a measurable improvement in quality-of-hire within the first quarter of going live."
Get In Touch
Have a question or ready to start your project? We'd love to hear from you.