AI & Systems Engineering for Enterprises
We design and build AI-powered tools, architect large-scale distributed systems, and provide strategic technology consultation — helping enterprises move faster without compromising reliability.
What we build
End-to-end enterprise technology — from AI to infrastructure
AI Tools Development
Custom AI-powered applications built for your workflows — from intelligent document processing and predictive analytics to autonomous agents and LLM-integrated platforms.
- LLM integration & fine-tuning
- AI agent development
- Document & data intelligence
- Conversational interfaces
AI Integration
Bring AI into your existing stack without rebuilding from scratch. We integrate state-of-the-art models into your products, APIs, and internal tools — reliably and at scale.
- Claude / OpenAI / Gemini APIs
- RAG pipelines
- Vector search & embeddings
- MLOps & monitoring
Large-Scale Systems
Architecture and engineering for distributed systems that handle millions of users. We design for fault tolerance, horizontal scale, and operational simplicity from day one.
- Microservices architecture
- Event-driven systems
- Cloud-native infrastructure
- Performance & reliability engineering
Technical Consultation
Strategic technology advisory for CTOs, engineering leaders, and founders. We help you make the right architectural decisions, build the right team, and execute with clarity.
- Architecture reviews
- Technology roadmapping
- Engineering team scaling
- Due diligence & audits
Why TARS
Senior engineers who build as if it's their own product
Enterprise-grade from day one
We build with security, observability, and operational maturity baked in — not bolted on later. Your production systems will be ready before they need to be.
20+ years combined experience
Our founders have shipped production systems at large financial institutions and other major organisations. We bring that rigour to every engagement, no matter the size.
Small team, direct access
You work directly with the engineers building your product — no account managers, no handoffs. Fast decisions, tight feedback loops.
AI-native, not AI-added
We don't retrofit AI onto legacy thinking. Every solution we design considers AI capabilities from the architecture up.
How it works
From first call to production — a process you'll actually understand
Discovery
We start by understanding your business deeply — your goals, constraints, existing systems, and team. No assumptions.
Architecture & Plan
We design a solution and present a clear technical plan with timelines, milestones, and risk areas called out explicitly.
Build & Iterate
Agile delivery with weekly checkpoints. You see working software early and often, not just at the end.
Launch & Support
We handle production deployment, runbooks, and stay available post-launch. You're not left to figure it out alone.
The team
Built by engineers who've done it at scale
Amarendra Yadav
Co-founder & CTO
Senior Staff Engineer with 14+ years building and scaling large distributed systems, from high-throughput infrastructure to MLOps pipelines. Leads engineering teams with deep expertise in Java, Spring Boot, cloud architecture, and AI integration.
LinkedInVijayaraghavan R
Co-founder & CEO
13+ years building backend and cloud-native platforms, with deep expertise in Kubernetes, distributed systems, and platform engineering. His background spans federated AI, secure cloud infrastructure, and microservices architecture, with hands-on depth in Java, Spring Boot, and Azure.
LinkedInFAQ
Common questions
Get in touch
Ready to build something great?
Tell us about your project and we'll get back to you within 24 hours. No sales pitch — just an honest conversation about what we can build together.
What to expect
After you reach out:
- 1We respond within 24 hours to schedule a discovery call
- 230-minute call to understand your goals and constraints
- 3We send a clear proposal with scope, timeline, and pricing
- 4You decide — no pressure, no auto-renewals