Zynvatorai

Zynvatorai

Build AI systems

that earn trust at scale.

Zynvator builds enterprise-grade LLM pipelines, RAG architectures, real-time inference systems, and cloud-native platforms for companies that need more than a proof of concept.

Projects delivered
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Average SLA uptime
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Client ARR served
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ONNX Runtime
PyTorch
Terraform
dbt
Snowflake
Hugging Face
FastAPI
Next.js

Everything your AI stack needs. Nothing it doesn't.

We work at every layer — from model training to production infrastructure and user-facing products.


01

LLM Pipeline Engineering

Custom large language model pipelines tuned to your domain — fine-tuning, evaluation frameworks, and production deployment on your infrastructure.


02

RAG Architecture

Retrieval-Augmented Generation over your proprietary data — vector search, hybrid retrieval, semantic chunking, and re-ranking pipelines at scale.


03

Real-Time AI Inference

Sub-100ms inference at production scale. Model serving with quantization, dynamic batching, and GPU-optimized runtimes handling millions of daily requests.


04

Cloud-Native Infrastructure

Serverless-first architectures and containerized microservices on AWS, GCP, and Azure — zero-trust security and auto-scaling from day one.


05

ML Lifecycle Management

Full MLOps from data ingestion through monitoring — feature stores, experiment tracking, automated retraining, and drift detection in production.


06

Web & App Development

AI-native applications and enterprise platforms — dashboards, APIs, and customer-facing products engineered for scale and maintainability.


From first call to production — in weeks, not quarters.

01

Discovery

Map your data landscape, define success metrics, and architect a solution before a single line of code is written.


02

Prototype

Working builds in 2-week sprints. Validate fast, surface complexity early, keep stakeholders aligned with demos — not decks.


03

Build

Full test coverage, CI/CD pipelines, observability stacks, and security review before anything touches your production environment.


04

Ship & Handoff

We deploy, document, and run knowledge-transfer sessions. Includes 90-day post-launch support at no extra cost.

Proof, not promises.

94% reduction in document review time

Map your data landscape, define success metrics, and architect a solution before a single line of code is written.


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Clinical decision support at 12 ms p99

HIPAA-compliant Llama inference across 14 hospital systems, 8,000 concurrent users, zero downtime over 18 months.

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3.8× revenue lift from personalization

Real-time recommendation engine with automated retraining and A/B infrastructure — shipped in 6 weeks.


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Inference
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Trusted by technical leadership.

Zynvator thought through our architecture with the same rigor we would. Months later, we’re still finding decisions they made that saved us from future headaches.


PK

Priya Khatri

CTO, Vaultline Financial

We’d been burned by AI vendors who couldn’t operate in regulated environments. They delivered a HIPAA-compliant inference system faster than we thought was possible.


MO

Marcus Osei

VP Engineering, Meridian Health

ROI was visible in 6 weeks. Their team knows the full stack — from notebooks to Kubernetes — and that breadth made everything faster.


PK

Lena Vogt

Founder, Kairos Commerce

Ready to build something

production-ready?

We take on a small number of new clients each quarter. Book a 30-minute technical discovery call and we’ll tell you exactly what’s possible for your stack.

Zynvatorai