Your business doesn't have a software problem. It has a growth-operations problem.

from fastapi import FastAPI, Depends
from pycentric.ai import AutonomousAgent
from pycentric.grpc import EngineClient

app = FastAPI(title="PyCentric Core API")
grpc_client = EngineClient(target="grpc://engine:50051")

@app.post("/api/v1/dispatch")
async def handle_inbound_stream(payload: EventSchema):
    # 1. Classify intent via Claude / GPT-4o / DeepSeek
    intent = await AutonomousAgent.classify(payload.text)
    
    # 2. Ultra-low latency gRPC calculation
    result = await grpc_client.compute(intent.data)
    return {"status": "ok", "latency_ms": 84}

import 'package:flutter_riverpod/flutter_riverpod.dart';
import 'package:pycentric_core/sync.dart';

class SyncController extends StateNotifier<SyncState> {
  SyncController() : super(SyncState.idle());

  Future<void> synchronizeOfflineQueue() async {
    state = SyncState.syncing();
    // Offline-first SQLite to Cloud sync
    final batch = await LocalDB.getPendingMutations();
    final res = await ApiClient.pushBatch(batch);
    state = SyncState.synced(count: res.syncedCount);
  }
}

use tonic::{Request, Response, Status};
use pycentric::proto::{RiskQuery, RiskOut};

#[derive(Default)]
pub struct SimulationEngine;

#[tonic::async_trait]
impl Engine for SimulationEngine {
    async fn compute_risk(
        &self,
        req: Request<RiskQuery>
    ) -> Result<Response<RiskOut>, Status> {
        // Sub-millisecond stochastic simulation (MC, ABM, Taylor Series)
        let outcome = stochastic_simulate(req.into_inner());
        Ok(Response::new(RiskOut { score: outcome.p95 }))
    }
}

package main

import (
    "context"
    "github.com/segmentio/kafka-go"
)

func ConsumeEventQueue(ctx context.Context, r *kafka.Reader) {
    for {
        msg, err := r.FetchMessage(ctx)
        if err != nil { break }
        // Zero-allocation event pipeline worker
        go processBatch(msg.Key, msg.Value)
        r.CommitMessages(ctx, msg)
    }
}

{
  "name": "PyCentric Invoice & CRM Auto-Sync",
  "nodes": [
    { "name": "Email PDF Inbound", "type": "n8n.emailRead" },
    { "name": "AI Document Extractor", "type": "pyc.ocrVision" },
    { "name": "PostgreSQL Sync", "type": "n8n.postgres" },
    { "name": "WhatsApp Alert", "type": "pyc.waNotify" }
  ],
  "active": true,
  "sla": "sub-minute sync"
}