Currently / Architecting Intelligence at Scale
Taking New Briefs

Architecting
Intelligence

RytQlk is an engineering studio for teams putting AI into production — backed by deep systems, data, and database expertise.

Explore Expertise
Architecting Intelligence ◆ LLMs in Production ◆ Agents · MCP · RAG ◆ Systems that Scale ◆ Architecting Intelligence ◆ LLMs in Production ◆ Agents · MCP · RAG ◆ Systems that Scale ◆
01 / The Matrix

Expertise,
Triangulated.

01

Systems Architecture

Architecture that holds up at scale.

  • Distributed systems · microservices
  • Containers · orchestration
  • Multi-tenant SaaS · planet-scale
  • Event-driven workflows
  • Compliance · privacy
  • Architecture reviews · scale · resilience
02

Data & Query Engines

Where data lives. How it moves. How fast it answers.

  • DB advisory · SQL · NoSQL · Graph
  • Engine internals · drivers · extensions
  • Query engines · custom tuning
  • CDC · streaming · lakehouses
  • Live migrations · zero-downtime
  • IoT pipelines · cloud connectors
03

AI & Automations

LLMs in production. Agents that hold.

  • MCP · tool-calling · context protocols
  • RAG · retrieval · evals
  • Agent stacks · specialized
  • Fine-tuning · distillation · guardrails
  • Inference · cost · latency
  • RPA · workflow automation
02 / Capability Index

The Long
Form.

01

Architecture & Systems

  • Architecture advisory · scale · resilience
  • API design · security · DX
  • Distributed systems · microservices · event-driven
  • Containers · orchestration · service mesh
  • SaaS · multi-tenancy · observability
  • Event-driven workflows
  • Compliance · privacy
02

Database Management

  • DB selection · performance & scale fit
  • SQL engines · relational
  • NoSQL · document · key-value · search
  • Internals · transactions · indexing · replication
  • Schema · admin · auth · backups
  • Extensions · custom drivers · UDFs
  • Connection pooling
  • Graph · GraphQL
03

Data Engineering

  • CDC · streaming ingestion & analytics
  • Data lakes · big data
  • ETLs · warehousing · curated data
  • Data virtualization · unified query
  • Migrations · snapshot · live · schema
  • Cloud connectors · ecosystem
  • IoT data flows at scale
04

Query Engine Internals

  • Execution · optimization · storage
  • Distributed & relational engines
  • Custom planner / executor work
05

Productization & Emerging Tech

  • Licensing & productization · commercial + OSS
  • IoT · ingestion · realtime · device storage
  • Zero-to-one builds
06

AI & Automations

  • MCP · tool-calling · context protocols
  • LLM orchestration · RAG · evals
  • Fine-tuning · distillation · guardrails
  • Agent stacks · specialized
  • Inference · cost · latency
  • RPA · workflow automation
  • MLOps · feature stores · model registries
  • Vector DBs · embeddings · semantic search
  • Copilots in customer surfaces
03 / The Brainstorming Lab

Think
Out Loud.

A private working session with our founders. Bring an ambiguous problem — a stuck migration, a broken platform team, an AI roadmap that isn't shipping — and leave with a decision tree and a point of view sharp enough to execute.

04 / Products

Proprietary
Platforms.

Purpose-built infrastructure engineered from decades of building planet-scale data engines and production AI systems.

IN ACTIVE DEVELOPMENT Intelligent AI Gateway
Private Alpha

Flit.

Intelligent AI Gateway

A high-throughput, deterministic AI gateway engineered to mediate LLM traffic, enforce enterprise security policies, optimize token unit economics, and orchestrate multi-agent workflows with sub-millisecond dispatch overhead.

Know More
01 //

Dynamic Model Routing & Fallback

Latency-, cost-, and capability-aware routing across frontier APIs and self-hosted open-weights models with automated failover and retry circuits.

02 //

Semantic Caching & Token Governance

Embedding-based vector cache layer and centralized token quotas cutting duplicate inferencing costs by up to 60%.

03 //

Enterprise Guardrails & PII Redaction

Deterministic streaming sanitization, schema validation, prompt injection shields, and audit trails for compliance.

04 //

Agentic Protocol & MCP Hub

First-class support for Model Context Protocol (MCP) server multiplexing, stateful session routing, and distributed agent tracing.

Dispatch Overhead
< 2.0ms
Protocol Support
HTTP/2 · gRPC · MCP
Availability Target
99.99% Multi-Region
Security & Governance
Zero-Trust / Airgap
05 / Operators

Built by
Operators.

Two founders. Five decades of combined engineering — from database internals to planet-scale systems.

Co-Founder / CEO

Neeraj Kumar

Neeraj Kumar

25+ years building distributed databases and systems at enterprise scale. NIT Warangal alumnus. Previously Director of Engineering at Yugabyte (post Falarica Analytics acquisition), Head of Engineering at SnappyData (acquired by TIBCO), and a core contributor to GemFire / Apache Geode at VMware.

Yugabyte SnappyData VMware GemFire
Years
25+
Focus
Distributed DBs
School
NIT Warangal
Co-Founder / CTO

Ramesh Kasturi

Ramesh Kasturi

25+ years in tech across Microsoft and Google, building highly-scalable, low-latency distributed systems. IIT Kharagpur alumnus. Builds engineering organisations from the ground up and mentors the next generation of technology leaders.

Microsoft Google IIT Kharagpur
Years
25+
Focus
Planet-Scale Systems
School
IIT Kharagpur
06 / Next Step

Have an
ambiguous problem?

One session. No slides. We'll tell you the honest version — whether we're the right team for it, and what we'd do first.

or hello@rytqlk.com