Scale Your Startup Without Linear Headcount
Early-stage founders and small engineering squads can now operate with the operational breadth and execution velocity of a 50-person enterprise. Automate user onboarding, code audits, and customer operations on day one.
Zero unanswered customer inquiries
Pre-built blueprints ready to connect
Graceful fallback, no bill shock
Automated chores & continuous PR triage
Automate High-Friction Startup Workflows
Select a pre-engineered blueprint below to inspect how Xarwiz orchestrates triggers, knowledge retrieval, and automated actions in production.
Autonomous Inbound Customer Support & Triage
Deflect 80%+ of repetitive questions without dragging engineers into support channels.
Orchestration Pipeline
Inbound Webhook Received
TriggerTriggered via Slack, in-app chat, or email webhook with customer intent metadata.
Hybrid RAG Knowledge Retrieval
RetrievalSimultaneous pgvector semantic matching & BM25 keyword lookup over technical documentation.
LLM Reasoning & Verification
InferenceModel synthesizes answer strictly grounded in citations; checks confidence threshold.
Instant Dispatch or Escalation
ActionDelivers response to user; posts summary to #founder-alerts on Slack if confidence is below 85%.
// Xarwiz Blueprint: Support Triage Flow
const flow = new WorkflowBuilder("support-triage")
.on("webhook.inbound_message")
.retrieve({
collection: "product_docs_v2",
mode: "hybrid",
topK: 5,
minScore: 0.82
})
.reason({
model: "llama-3.2:3b", // local Indian cloud
prompt: "Answer user question with direct citations."
})
.branch({
condition: "result.confidence >= 0.85",
ifTrue: (wf) => wf.action("send_reply"),
ifFalse: (wf) => wf.action("slack_escalation")
});Where Early-Stage Startups Lose Momentum
Compare common founder and squad pain points before and after deploying Xarwiz automation.
Support Inquiries Draining Engineering Hours
Founders and senior engineers waste 2-3 hours daily answering repetitive onboarding questions, API credential lookups, and basic documentation navigation.
Deploy an autonomous support agent grounded via hybrid pgvector + BM25 search. Delivers 99.4% cited answers instantly and routes complex edge cases to Slack.
- Hybrid RAG accuracy with verified source links
- Automatic Slack escalations with thread context
- Recovers 15+ engineer hours per week
Pull Request Reviews Stalling Sprint Velocity
Pull requests sit unmerged for 24-48 hours while senior engineers are in meetings or offline. Ship cycles slow down and context gets lost.
Connect GitHub webhooks to an autonomous coding agent running sandboxed Qwen 2.5 Coder. Inspects diffs, runs test suites, and flags bugs in seconds.
- Sandboxed ephemeral test execution
- Catches async race conditions and SQL injection
- Cuts PR turnaround time by 60%+
Brittle Zapier Connectors Breaking on Launches
Signups, Stripe events, and CRM updates wired with no-code tools fail during viral traffic surges, silently dropping leads with zero retry logs.
Deterministic DAG webhook orchestrator with cryptographic HMAC validation, exponential backoff retries, and tamper-evident audit history.
- HMAC-SHA256 signature validation on every webhook
- Zero dropped events with automated backoff retries
- Full PostgreSQL execution traces and debug replay
Calculate Your Squad's Velocity Multiplier
See how much engineering bandwidth and budget Xarwiz automation unlocks for your startup every month.
Equivalent to +0.4 full-time engineering capacity
~$1,029 USD in preserved developer runway
Engineered Specifically for Startup Reality
Why venture-backed startups and bootstrapped founders pick Xarwiz over fragile custom glue code or raw API tokens.
No API Credit Card Surprises
Flat, transparent monthly quotas with automatic safety fallback. You never wake up to an unexpected $4,000 cloud bill because a webhook looped.
Built-in Hybrid RAG (No Pinecone Setup)
Zero separate vector database subscriptions required. Xarwiz provides integrated pgvector + BM25 keyword search with tenant partition isolation.
Indian Cloud & DPDP Sovereign Compliance
Host customer data inside Indian cloud borders with consent governance, audit logs, and automated Data Principal Rights handling on day one.
Local Ollama + Frontier Model Routing
Mix and match high-reasoning frontier models with local self-hosted Ollama open-source models (Qwen 2.5, Llama 3.2) for near-zero marginal cost.
Frequently Asked Questions
Everything founders need to know about pricing, security, quotas, and deployment.
Multiply Your Squad's Engineering Velocity Today
Get started on our free Starter plan. Upgrade effortlessly as your customer requests and daily traffic expand.