Knowledge Infrastructure For AI agents & Humans
Connect your unstructured data and give your agents accurate, cited context from your knowledge base via API or MCP.
Setup takes < 5 minutes
Accurate, cited context for AI agents
Connect your unstructured data and give your agents grounded answers — with citations — via a single API or MCP call.
The engine behind these brands
Reliable, hallucination-free knowledge infrastructure works for them and it can for you, too.
We deliver automated data syncing for complex workflows.
Whether you're parsing a massive code repository, a customer support queue, or a sprawling wiki page, our API handles all the normalization and deduplication of your data because great AI needs perfect context.
Do you need to ingest Notion, PDFs, or GitHub?
What happens to raw unformatted text files?
Can I sync chat threads instantly via API?
View platformsEvery connector you need, already built
Pre-built connectors for web crawls, support tickets, code, chat threads, and more — each absorbs its API's quirks so you never write data pipeline code again.
One platform, unlimited connections
Integrate with 10+ tools and data sources out of the box
One bot, everywhere your visitors are
Generate a chat widget, drop one snippet on your site, and visitors get instant, cited answers — then reach the same bot on WhatsApp, Messenger, Slack, and more.
<script src="https://cdn.zindek.ai/widget.js" data-id="acct_123">
Send only the context the agent needs
Zindek prunes what doesn't matter, keeping accurate retrieval at scale — for 68% fewer tokens sent to the model.
sent to model
2,400 tokens
chunks kept
0/4
Huge drop in AI hallucinations immediately, thanks to the context pruning engine.
Whether you're parsing a massive knowledge base, a sprawling wiki page, or a messy chat thread, Zindek gives you full control over the chunks sent to your AI model because smart agents are not built on noisy data.
Do you need to strip out repetitive boilerplate?
What happens to irrelevant changelog entries?
Can I reduce token costs without losing data?
Start savingsDesign dynamic workflows and hand off conversations seamlessly to live human queues when your AI agents need backup
Visual flow builder
Drag together intents, questions, and hand-offs into a seamless conversational flow.
Instant live handoff
Route complex visitor requests directly to your live agent queue in real time.
Smart intent routing
Evaluate user queries conditionally with true or false branch execution logic.
Design agent conversations visually
Drag together intents, questions, and hand-offs into a flow your agent runs step by step — with a live human hand-off the moment a conversation needs one.
Automate your AI infrastructure so you can focus on shipping better models
Our infrastructure empowers engineering teams to train, deploy, and scale models with confidence in a rapidly evolving AI landscape.
Model Packaging
Containerize and version models for reliable, repeatable deployments across environments.
Pipeline Orchestration
Coordinate training, evaluation, and deployment steps into one automated pipeline.
Data Infrastructure
Build resilient data pipelines that keep your models fed with clean, current data.
Low-Latency Serving
Optimize inference paths to cut response times without sacrificing accuracy.
Infrastructure for every stage of the model lifecycle
From provisioning GPU clusters to serving models in production — the infrastructure work happening underneath every deployment.
GPU Cluster Orchestration
#infrastructure · availableProvision and optimize multi-node GPU clusters using Kubernetes, managing resource allocation, VRAM utilization, and multi-tenant isolation.
High-Performance Inference Serving
#inferenceSet up highly optimized serving engines like vLLM, TensorRT-LLM, and Triton to minimize TTFT and maximize token throughput for production workloads.
AI Infrastructure Pipelines (MLOps)
Build robust CI/CD and data engineering pipelines, automating weight distribution, checkpointing, and dynamic cluster autoscaling.
Distributed Training Infra
#training · availableArchitect infrastructure setups for model fine-tuning and training, configuring data-parallel and model-parallel setups with Ray and DeepSpeed.
Compute & Cost Monitoring
Implement full-stack observability frameworks to track GPU metrics, prompt cache hit-rates, latency, and cloud compute expenditures.
Multi-Agent Assistants & Industry AI
Empower your workforce with intelligent workflows and industry-specific automation fabrics.
Always up to date, at any scale
Zindek detects exactly what changed across your sources and re-processes only that, so updates land in minutes — staying current never costs a full re-index.
Any scale of data, always up to date
Zindek detects and re-processes only what changed, so updates land in minutes — staying current never costs a full re-index.
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- api/webhooks.mdprocessing…
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- sdk/python.mdprocessing…
Every connector you need, already built
Pre-built connectors for web crawls, support tickets, code, chat threads, and more — each absorbs its API's quirks so you never write data pipeline code again.
Every connector you need, already built
Pre-built connectors for web crawls, support tickets, code, chat threads, and more — each absorbs its API's quirks so you never write data pipeline code again.
Retrieval that stays state-of-the-art
Chunking, embedding, hybrid search, reranking, and evals — tuned continuously by our research team, all behind one API call.
Retrieval that stays state-of-the-art
Chunking, embedding, hybrid search, reranking and evals — tuned continuously by our research team. All of it behind one API call.
Knowledge Retrieval API for AI agents
Connect your unstructured data and give your agents accurate, cited context — via a single API or MCP call.
Accurate, cited context for AI agents
Connect your unstructured data and give your agents grounded answers — with citations — via a single API or MCP call.
Keep using the platforms you already use
Sync your existing docs and Zindek maintains them where they already live — Slack, MS Teams, your IDE, and more. No migration required.
Keep using the platforms you already use
Sync your existing docs and Zindek maintains them where they live — no migration required. Ask a question or generate a doc straight from Slack, MS Teams, or your IDE.
Built to scale with flexible pricing for your usage
Whether you're answering a handful of visitor questions a day or tens of thousands across every channel, pay for what your bot actually handles.
Up to 1,000 answers per month
5 connected knowledge sources
Website chat widget embed
Every answer cited to its source
Community support
Up to 10,000 answers per month
Unlimited connected sources
WhatsApp, Slack & MS Teams sync
Zindek MCP Server for coding agents
Priority support
Your specific query volume, sources, and channels to build a plan that actually fits how your team gets asked questions
Have any questions? here some answers
Here are some of the frequently asked questions.
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