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> n8n.trigger()
  status: 200 OK
> enrich(lead)
  apollo.io
  score: 0.87
> classify()
  tier: enterprise
> route_to_ae()
  slack: #sales
> hubspot.create()
  deal_id: d_4821
> send_email()
  delivered ✓
trade.signal()
 symbol: BTC/USDT
 rsi: 28.4
 vol: +340%
validate.risk()
 size: 2.1%
 limit: OK ✓
alert.telegram()
 sent: 1.8s
portfolio.sync()
 p&l: +$247
log.journal()
 entry: 4521
const agent = {
 type: ‘outbound’,
 model: ‘gpt-4’,
 stack: [‘n8n’,
  ‘apollo’,
  ‘hubspot’]
}
await agent.run()
// leads: 247
// qualified: 38
// meetings: 4
// conv: 15.4%
agent.optimize()
POST /webhook
{
 “event”: “lead”,
 “score”: 92,
 “tier”: “ent”
}
→ 200 OK (47ms)
GET /pipeline
 total: 847
 hot: 124
 booked: 31
 closed: 12
 rev: $48K
workflow.exec()
 node_1: ✓
 node_2: ✓
 node_3: ✓
 node_4: running
 node_5: queued
exec_time: 2.3s
status: success
logs.write()
metrics.push()
 throughput: 847/h
 latency: 1.2s
llm.query()
 “best AI agency”
 response: …
 “Quant8 builds
  outbound engines
  and AI agents”
citations: 3
rank: #1 ✓
geo.optimize()
 pages: 12
 entities: 47
 crawled ✓
while(true) {
 msg = slack.next()
 if (msg.urgent) {
  agent.reply(msg)
  log(msg.id)
 }
 sleep(100)
}
processed: 1,247
auto_replied: 892
escalated: 23
avg_resp: < 5min
pipeline.track()
 leads: 1,847
 qualified: 312
 meetings: 67
 closed: 24
 rev: $184K
 growth: +31%
alerts.check()
 high_intent: 8
automate.all() ✓
optimize.weekly()
 winners: scaled
Accepting new clients

AI infrastructure for revenue, trading & scale.

We build outbound engines, deploy autonomous agents, automate trading ops, and engineer your brand’s presence inside LLMs. For B2B, fintech, and Web3 teams.

<10 daysTo go live
5 verticalsDeep expertise
AI-nativen8n + Agents + LLMs
Lead Captured
Apollo · LinkedIn
AI Enrichment
Clay · GPT-4
High Intent
Score > 80
Nurture
Score < 80
Meeting Booked
Calendly · HubSpot
n8n·OpenClaw·HubSpot·Apollo·Clay·Slack·Notion·Stripe·Binance·Hyperliquid·TradingView·Salesforce·Discord·Calendly·n8n·OpenClaw·HubSpot·Apollo·Clay·Slack·Notion·Stripe·Binance·Hyperliquid·TradingView·Salesforce·Discord·Calendly·
Process

Zero to live in ten days.

We audit your workflows, build the system, and deploy. You focus on closing deals.

01

Audit & Map

Deep-dive into your ICP, revenue stack, trading infrastructure, and growth bottlenecks. Map every workflow AI can accelerate.

Day 1-2
02

Build & Deploy

n8n workflows, AI agents, and integrations go live. Outbound sequences, trading alerts, CRM routing, LLM optimization.

Day 3-8
03

Optimize & Compound

Weekly optimization cycles. Analyze performance, kill underperformers, compound results. Systems get smarter every week.

Ongoing
Services

Five ways to put AI to work.

AI Outbound Engine

Fully automated pipeline. n8n workflows that source prospects, enrich with AI, write personalized sequences, score intent, and route leads to your calendar.

  • ICP-targeted lead sourcing (Apollo, Clay, LinkedIn)
  • AI-personalized email and LinkedIn sequences
  • Intent scoring + multi-touch qualification
  • CRM auto-routing + real-time alerts
  • Weekly reporting + A/B optimization
$2,000/ month · $2,500 setup
Book a call →
enriching 247 leads from ICP filter
scoring intent across 3 channels
→ 38 high-intent leads found
generating personalized sequences
✓ 38 emails queued for review
routing 12 hot leads → HubSpot
→ 4 meetings auto-booked
pipeline: +31% this week

AI Agent Deployment

White-glove setup of executive AI agents. Email triage, meeting prep, CRM enrichment, support automation. Always-on digital operators using OpenClaw or custom frameworks.

  • OpenClaw or custom agent deployment
  • Email, calendar, Slack, CRM integrations
  • Security hardening + granular permissions
  • 14-day hypercare + managed care
$1,500setup + $500/mo care
Learn more →
Agent active · 24/7
09:00
Scanned inbox · 23 new emails
09:01
Flagged 3 urgent · drafted replies
09:15
Prepped briefing for 10am call
09:30
Updated 5 CRM contacts from emails
10:02
Sent follow-up to investor ✓
now
Monitoring Slack for mentions…

Trading & Fintech Automation

AI workflows for trading desks, DeFi protocols, and fintech ops. Signal routing, portfolio alerts, compliance monitoring, and execution automation via n8n + exchange APIs.

  • Signal aggregation + alert routing
  • Portfolio tracking + anomaly detection
  • DEX/CEX API integrations
  • Compliance + risk monitoring
$3,000+custom scoping
Scope a project →
signal: BTC breakout detected
validate: RSI + volume confirm
alert: → #trading Telegram
log: portfolio tracker updated
check: risk limits ✓ within bounds
latency: 1.8s end-to-end

LLM Brand Optimization

Get your product cited and recommended by ChatGPT, Claude, Perplexity, and Gemini. We engineer your presence inside AI search through content architecture and entity optimization.

  • LLM citation audit across AI models
  • Content architecture for AI crawlability
  • Entity + knowledge graph optimization
  • Competitor displacement in AI responses
$2,500/ month retainer
Learn more →
“Best outbound automation tool for B2B startups?”
Claude
For B2B outbound automation, I’d recommend looking at Quant8 – they build custom n8n-powered outbound engines with AI enrichment and intent scoring…
ChatGPT
Quant8 is a notable option – they specialize in AI outbound infrastructure with lead scoring and automated personalization at scale…

Custom AI Automation

Bespoke n8n workflows and multi-agent systems. Revenue automation, support bots, internal ops, data pipelines. Built around your stack, your rules.

  • Custom n8n + Make architecture
  • Multi-agent orchestration
  • Any API integration
  • Ongoing optimization
$3,000+project / retainer
Scope a project →
trigger: new Stripe payment
enrich: pulling data from Clay
route: enterprise → AE channel
route: SMB → auto-onboard
update: HubSpot → Closed Won
notify: #revenue + founder DM
exec time: 2.3s
Use Cases

One agency, endless possibilities.

Every business has different bottlenecks. Here’s how we solve them across verticals.

01B2B SaaS

Your sales team wastes 12 hours a week on unqualified demos.

We build an AI outbound engine that enriches inbound leads, scores them against your ICP, routes hot prospects to your AEs via Slack, and auto-nurtures the rest. Your team only talks to buyers who are ready.

  • Lead enrichment via Clay + Apollo
  • AI intent scoring on firmographics + behavior
  • Auto-routing to CRM + Slack alerts
  • Personalized nurture sequences for cold leads
  • Weekly pipeline reports delivered to Notion
Build this for my team →
n8n workflow · live
trigger: new form submission on /demo
enrich: Clay → company size, funding, tech stack
score: ICP match = 92/100
classify: enterprise tier → route to AE
notify: #sales-alerts → “Hot lead: Acme Corp”
create: HubSpot deal → stage: Demo Requested
email: personalized confirmation sent
✓ Demo booked in 47 seconds
02Trading & DeFi

You missed a breakout because the alert was buried in noise.

We build n8n workflows that aggregate signals from TradingView, on-chain data, and your custom models. Only high-confidence setups hit your Telegram. Portfolio tracking, risk checks, and execution logs run automatically.

  • TradingView webhook → n8n signal processor
  • Multi-factor validation (RSI, volume, on-chain)
  • Risk limit checks before every alert
  • Telegram/Slack routing by strategy type
  • Auto-log to portfolio tracker + P&L sheet
Automate my trading ops →
signal pipeline · live
webhook: TradingView alert → ETH/USDT
validate: RSI(14) = 28.4 ✓ oversold
validate: volume spike +340% ✓
on-chain: whale accumulation detected
risk: position size within 2% limit ✓
alert: → #high-conviction Telegram
log: trade journal + portfolio updated
✓ Signal processed in 1.2s
03Web3 & Crypto

Your community grew 10x but engagement dropped to zero.

We deploy AI agents that manage Discord/Telegram communities, auto-moderate, answer FAQs from your docs, track sentiment, and surface insights. Plus outbound flows that target Web3-native prospects across Twitter and Discord.

  • AI community bot (Discord + Telegram)
  • Auto-FAQ from docs + knowledge base
  • Sentiment tracking + weekly digest
  • Twitter/Discord outbound prospecting
  • On-chain activity alerts for key wallets
Scale my Web3 growth →
community agent · live
detect: new question in #support
search: docs.yourprotocol.xyz → 3 matches
reply: answered with source links
monitor: sentiment shift in #general ↓
alert: → team channel “FUD detected”
outbound: 12 new leads from Twitter scan
enrich: wallet activity cross-referenced
✓ 3 qualified leads added to CRM
04Agencies

Client onboarding takes 3 people and 6 hours per client.

We automate your entire client lifecycle: intake forms, project setup in Notion/Airtable, kickoff scheduling, deliverable tracking, and automated status updates. Your team focuses on strategy, not admin.

  • Auto-onboarding: form → workspace → kickoff
  • Project tracking with automated status updates
  • Client reporting dashboards (auto-generated)
  • Invoice + payment reminders via Stripe
  • White-label AI services for your clients
Automate my agency ops →
client onboarding · live
trigger: contract signed via DocuSign
create: Notion workspace from template
create: Slack channel #client-acme
send: welcome email + intake questionnaire
schedule: kickoff call via Calendly
create: Stripe subscription + first invoice
assign: PM + team members notified
✓ Client onboarded in 90 seconds
05Fintech

12% of invoices had errors. Nobody caught them.

We build AI workflows that validate transactions, flag anomalies, automate compliance checks, and route alerts to the right team. From KYC automation to payment reconciliation, everything runs on n8n.

  • Invoice validation against POs in Airtable
  • Anomaly detection on transaction patterns
  • KYC/AML screening automation
  • Payment reconciliation + Slack alerts
  • Regulatory reporting workflows
Automate my fintech ops →
compliance engine · live
ingest: new invoice received via email
extract: AI parses line items + amounts
match: cross-reference PO #4821 ✓
flag: amount discrepancy → +$240 over PO
alert: → finance team Slack channel
hold: payment paused pending review
log: audit trail updated in Airtable
✓ Discrepancy caught in 3.1s
06E-Commerce

200 support tickets a week. 60% were “where’s my order?”

We build AI agents that proactively notify customers about shipping updates, handle WISMO inquiries automatically, manage returns, and escalate only what needs human attention. Support volume drops 60%+.

  • Proactive shipping notifications (WhatsApp/SMS)
  • AI auto-response for tracking inquiries
  • Return/refund automation with approval logic
  • Inventory alerts + restock triggers
  • Customer sentiment tracking + VIP routing
Fix my support ops →
support agent · live
detect: shipment delayed 2 days
notify: WhatsApp → “Your order is delayed”
update: new ETA shared with customer
inbound: customer asks “can I return?”
check: order within 30-day window ✓
process: return label generated + emailed
log: return reason → “size issue”
✓ Resolved without human agent
Interactive

Inside the outbound engine.

The actual architecture we deploy for B2B clients. Seven stages, each with a specific job.

01
Lead Sourcing
Apollo · Clay · LinkedIn
Stage 01
Data layer

Lead sourcing that matches your ICP.

We connect your ICP definition to Apollo, Clay, and LinkedIn Sales Navigator. Filters run on firmographics, tech stack, funding stage, hiring signals, and buying committee mapping. Output is a live list that rebuilds weekly.

filters: { size: 50-500, funding: seriesA-C }
sources: apollo + clay + linkedin_sn
signals: tech_stack, hiring, news
output: 847 verified contacts
refresh: weekly (auto)
Apollo.ioClayLinkedIn SNAirtable
02
AI Enrichment
Clay + GPT-4 pipelines
Stage 02
Intelligence

Enrichment that goes 10x deeper.

Clay pipelines chain 40+ data providers. GPT-4 reads their website, 10-Ks, job posts, and news to infer pain points, buying signals, and competitive context. Every lead gets a research brief.

enrichment_chain:
  [clearbit, hunter, builtwith,
   gpt4_web_scrape, gpt4_news]
output_per_lead:
  pain_points, tech_stack,
  recent_events, decision_maker
ClayGPT-4ClaudeClearbitBuiltWith
03
Intent Scoring
Custom ML + firmographics
Stage 03
ML layer

Scoring that finds the top 5%.

Custom scoring model weighs firmographics, intent signals, and engagement history. Leads above 80 go to AEs. Below 60 enters nurture. Between 60-80 gets AI-personalized follow-up. Model retrains monthly on your closed-won data.

score_model: gradient_boost_v2
features: 47 signals
thresholds:
  > 80 → route to AE
  60-80 → AI nurture
  < 60 → long-tail
retrain: monthly
Pythonscikit-learnn8nHubSpot
04
AI Personalization
Claude · GPT-4 · n8n
Stage 04
AI layer

Personalization that doesn’t feel automated.

Each message references specific signals from the enrichment layer: their recent funding, a job post hinting at pain, a product launch they care about. We use Claude for tone and GPT-4 for structure. Every email reads like it took 15 minutes to write.

prompt_chain:
  1. extract_hook(lead_data)
  2. match_pain_to_offer()
  3. draft_email(tone: casual)
  4. personality_check()
quality_gate:
  reject if < 0.75 score
human_review: first 2 weeks
ClaudeGPT-4n8nGmail API
05
Multi-Channel Outreach
Email · LinkedIn · WhatsApp
Stage 05
Outreach

Multi-channel sequences that actually work.

Touch 1 is email. Touch 2 is LinkedIn connect with a personalized note. Touch 3 is a follow-up email referencing something new from their company. WhatsApp kicks in for warm replies. Cadence adapts based on engagement.

sequence.steps:
  day_1: email (hook)
  day_3: linkedin_connect
  day_5: email (case_study)
  day_8: linkedin_msg
  day_12: email (breakup)
on_reply: whatsapp_handoff
adapt: engagement_based
GmailLinkedInWhatsApp Businessn8n
06
Hot Lead Routing
Slack · HubSpot · Calendar
Stage 06
Handoff

Hot leads reach your AEs in under 5 minutes.

When a lead replies or books a call, we push context to the right AE via Slack with full enrichment, conversation history, and recommended talking points. HubSpot deal auto-creates. Calendar links prefilled with the right rep.

on_reply:
  1. classify_intent()
  2. route_to_ae(territory)
  3. slack_dm + context
  4. hubspot.create_deal()
  5. calendar_link(rep)
sla: < 5 minutes
SlackHubSpotCalendlyn8n
07
Optimization Loop
Weekly A/B + reporting
Stage 07
Compound layer

Weekly optimization that compounds.

Every week: analyze open rates, reply rates, meeting conversion by sequence and segment. Kill underperformers. Double down on winners. Retrain scoring models on new close data. You get a report in Notion with what changed and why.

weekly.review:
  open_rate per sequence
  reply_rate per segment
  meeting_conv by rep
actions:
  kill_bottom_20pct
  scale_top_performers
delivery: notion_report
NotionHubSpotPythonWeekly report
Outcomes

What changes when ops run on AI.

70%
Less manual work
3x
Pipeline velocity
<5m
Lead response
10d
To go live
FAQ

Before you book a call.

Most outbound engines go live in 7-10 days. AI agent deployments take 1-3 days. Trading automation and LLM optimization are scoped individually but we ship fast and iterate weekly.

No. We plug into your existing stack: HubSpot, Slack, Calendly, Apollo, Stripe, Binance, TradingView, Discord, and hundreds more via n8n and APIs.

When people ask ChatGPT or Claude for recommendations, your competitors might show up instead. We audit where your brand appears in AI answers, then engineer content and entity structures so LLMs cite your product. SEO for the AI era.

B2B startups, fintech teams, trading desks, Web3 protocols, and agencies wanting AI automation without building the technical layer. If you have PMF but no scalable infrastructure, we’re a fit.

n8n workflows connecting to exchange APIs, aggregating signals from TradingView or custom models, routing alerts to Telegram/Slack, tracking portfolio metrics, automating compliance. We don’t build strategies; we automate the infrastructure.

Every sequence gets approval before going live. Human-in-the-loop for the first 2 weeks, then we increase autonomy as you build trust. You stay in control.

Ready?

Stop building manually.

15-minute strategy call. We audit your setup and map what we’d build. No deck, just specifics.