ConcurrencyX scales the creation of deeply personalized, evaluator-refined outreach — performing research, analysis, generation, and multi-stage evaluation in parallel across hundreds or thousands of leads at once. High quality, high volume, zero compromise.
ConcurrencyX performs multi-source website analysis, structured content mapping, and high-resolution intelligence extraction — producing a real understanding of each prospect, not a surface-level scrape.
Parallelized generation stacks create multiple candidates per lead, each grounded in extracted facts and context. Every draft is shaped to read naturally — with evaluator alignment baked in from the very first pass.
Each candidate is graded for accuracy, persuasion, tone, clarity, and multiple other metrics. Only candidates meeting your thresholds survive; others mutate, retry, and evolve until they do.
Winning emails are compiled into a master CSV and packaged into ZIP outputs, ready for your outbound tools or custom SMTP stack.
You drop leads into a folder or webhook. Each lead is immediately staged and prepared for its research sequence, where its website and digital footprint will be analyzed before any validation or generation begins.
Every lead triggers a deep, multi-layer crawl. Content is sanitized and summarized into rich, structured intelligence: brand tone, positioning, hooks, differentiators, pain points, and offer alignment. A typical site produces ~6–30 actionable insights and 2–5 high-value hooks that fuel personalization.
Using the crawled data, three preflight checks confirm outreach plausibility, geo-alignment, and data consistency. Leads that fail these compatibility rules are cleanly flagged; valid leads advance into the parallelized AI pipeline.
Once validated, leads enter the Redis-backed n8n queue system. Distributed workers handle research, generation, and evaluator loops in parallel, scaling to your CPU, RAM, and GPU capacity. The system maintains consistent processing speed whether you run 10 leads or 10,000 — with throughput limited primarily by GPU inference and external AI API concurrency, not by the workflow architecture.
Multiple candidates are generated and graded by a 10-check subject-line gauntlet (accuracy, clarity, alignment, tone, persuasion, brevity, predicted open-rate, relevance, value proposition, curiosity). Failed attempts mutate and re-run until a winner passes your thresholds.
The body generator builds a context-woven email referencing verified site facts. A 14-evaluator body suite grades it (accuracy, structure, mechanical, tone, persuasion, continuity, compliance, relevance, CTA integrity, curiosity, boardroom test, final accuracy, well-written, grammar). Failed drafts loop with targeted improvement feedback until thresholds are hit.
Approved emails are merged into a master CSV, zipped with reports, and delivered to your outbound system ready to send. Leads that failed preflight or validation are clearly annotated so you know exactly why they were excluded.
Speed, throughput, and token volumes shown here are based on real tests on a specific hardware profile. Your GPU, SSD speed, CPU core count, network latency, threshold settings, and external API concurrency limits will affect your actual completion-time. The pipeline itself is hardware-limited — not vendor-limited.
Emails don’t “just generate.” They compete, mutate, and improve until they pass a multi-suite evaluator gauntlet across preflight, subject line, and body — with thresholds you control.
Full-site crawling and layered summarization go far past homepage fluff — we build a usable prospect model: brand tone, hooks, differentiators, pain points, and value props.
580+ nodes orchestrated as a deterministic pipeline with Redis queueing and Postgres state. Designed for industrial-grade recursion, non-overlapping global variables, and clean concurrent reads.
Prompt stacks are explicit, constrained, and built to avoid AI-isms. You get consistent voice and structure without relying on copy-paste templates.
Full parallelization support with Postgres-compatible concurrent reads and mutex-safe orchestration. Throughput scales with your hardware, not an artificial vendor ceiling.
Because it runs on your stack (or our managed one), you’re paying close to raw inference cost per email instead of typical SaaS markup. Exact economics depend on your hardware and provider(s).
Either you come in from this site, or we reach out to you. From there, we’ll usually exchange a few emails to understand your offer, volume, and what “good outreach” looks like for you — and confirm that ConcurrencyX is a real fit.
Once it looks promising, we book an introductory call. We’ll walk through your lead format, current tools, compliance needs, and whether you’re leaning toward owning the engine in-house or having us operate it for you.
Together we decide whether a client-hosted deployment (you own it) or a fully managed deployment (we run it) is the best fit. That choice drives what happens next.
For in-house deployments, we schedule an integration block, work through an environment checklist with your team, and install/configure the engine inside your stack. From there, we do an intitial tuning of thresholds, evaluators, and flows around your use cases, but ultimately provide training for self directed operation.
For managed deployments, you send a set of sample leads. We integrate them into our managed environment, run a pilot, and let you know when the pipeline is ready for full flow — with examples you can inspect before scaling.
We install and configure OutreachEngine inside your infrastructure. You get the full n8n workspace, Redis queue model, Postgres state, and GPU inference strategy under your control.
We host and run the entire engine for you — workers, queues, GPUs, scaling, monitoring. You send leads and receive a master CSV/ZIP of launch-ready emails.
Watch a simplified execution flow that demonstrates how research and generation progress through the pipeline. (The real system runs a deeper, more parallelized sequence — this is a visualization for demonstration purposes.)
If you want us to run it for you, our managed option removes all infrastructure overhead. If you want to own it, we install and tune everything inside your stack and hand you a clean, easy settings system for ongoing control.
For client-hosted deployments, the main cost is a one-time setup and integration project. Once the engine is installed in your environment, there are no required recurring license fees — you run it as much as you like on your own hardware and infrastructure.
If you want us on call for upgrades, custom tailoring, new verticals, or troubleshooting, you can optionally add a retainer-style monthly support arrangement. It’s entirely optional — the engine is designed to keep working without it.
For fully managed deployments, there’s a predictable monthly base rate for operating the engine, plus passed-through runtime costs (GPU time, AI inference, etc.) with zero markup. You see the real economics instead of per-email pricing with hidden margins.
In client-hosted deployments, everything runs inside your environment. We don’t have accessto to logs of your leads, research outputs, or email content — you own the data and the runtime.
When using a cloud-style deployment, inference runs on either Ollama or our own hardware (Usually a combination of both). We don’t keep logs of private information from your traffic, and neither does Ollama as per their privacy policy, which applies in addition to our handling.
The pipeline is designed around extracting signals — tone, positioning, hooks, pain points, and value props — rather than building long-term dossiers on individuals. For most use cases, the underlying data is not especially sensitive, but we still treat it with care.
OutreachEngine is rolling out with a small set of early partners. If you want a pipeline that produces high-relevance emails at scale — and you care about quality more than “one-prompt magic” — we should talk.
Nothing on the market Currently Compares to ConcurrencyX
If you have leads and you sell something with meaningful client value, the engine can generate outreach that fits your world. It’s best for B2B or high‑value B2C where each sale has enough margin to justify personalized outreach at scale.
Ideally your leads include first name, last name, email, title/occupation, company website, industry, employee count, and location (city/state/country). Not every field is required — we can also provide simple scripts to compile, clean, and format leads into the perfect structure. Also, in the managed service model, we need your offer, call to action, amongst a few other things in that vein.
If we’re integrating into your stack, the planning back‑and‑forth usually takes up to a week. The actual integration is often about a day, followed by optional tuning and follow‑ups as you explore the customizability.
Yes. You get an easy settings system where you can fine‑tune things like curiosity level, brand‑tone alignment, persuasion strictness, and more — each on a simple 0–100 scale.
If you want cold outreach that feels human, stays grounded in real prospect data, and scales cleanly in real time — let’s walk through your pipeline.