Tired of robotic AI fluff? Standard models produce bloated corporate filler that kills conversion rates. Resonance-1 (70B) is trained on 300M+ real visitor sessions and 30,000+ conversion A/B tests across 2,500 live websites. Clean, punchy marketing copy that turns traffic into revenue.
Sub-100ms inference • Post-processed by natural text humanizer • Zero fluff
Frontier models are optimized for math, code, and synthetic benchmarks. When asked to write marketing copy, their weights default to generic adjective soup. Marketers spend hours editing out filler words that kill conversions.
When you put generic AI copy on a live landing page, visitors bounce within seconds. Words like "delve into a tapestry of seamless innovation" signal an amateur, robotic brand. We solved this by post-training open 70B weights directly on real human purchase choices from 2,500 active websites. Every word is tuned to capture attention and trigger action.
We start with open 70B weights for grammar and fluency, then post-train using Outcome Reward Modeling (ORM) and Direct Preference Optimization (DPO) on real human conversion choices.
Start with open state-of-the-art weights providing baseline linguistic fluency, multi-lingual capability, and 128k context.
Open Foundation WeightsAutomated collection across 2,500 Seatext sites. 30,000+ verified conversion pairs and 70,000+ long-form read sessions.
Real Human Behavioral Ground TruthTrain reward models on actual purchase clicks, booking transactions, and scroll dwell time, not synthetic LLM judges.
Outcome & Process Reward SignalsExecute distributed DPO training passes to align model weights directly with high-converting human completions.
Resonance-1 (70B) Production Weights| Resonance-1 (70B) Technical Specifications | |
|---|---|
| Base Architecture | Llama 3.3 Transformer (70 Billion Parameters, Grouped-Query Attention) |
| Context Window | 128,000 Tokens (Supports full landing page trees, multi-page funnels, and book-length copy) |
| Post-Training Strategy | Direct Preference Optimization (DPO) + Outcome Reward Modeling (ORM) on Conversion Telemetry |
| Preference Dataset | 30,000+ verified A/B conversion pairs • 70,000+ full-page dwell snapshots • 300M+ real reader impressions |
| Primary Ground Truth | Stripe checkouts, form leads, phone clicks, booking confirmations, 100% scroll depth completions |
| Inference Latency | Sub-25ms first-token latency on distributed vLLM tensor-parallel GPU clusters |
| Integration Interface | /v1/chat/completions • 100% Drop-in OpenAI SDK Compatible |
Integrate Resonance-1 (70B) directly into your existing marketing tech stack, CMS, copy agents, or SaaS applications without rewriting client code.
# Drop-in replacement with standard OpenAI Python client from openai import OpenAI client = OpenAI( base_url="https://api.resonancetext.com/v1", api_key="res_live_70b_xxxxxxxxxxxx", ) response = client.chat.completions.create( model="resonance-1-70b", messages=[ {"role": "system", "content": "You are an expert copywriter trained on 300M+ real visitor conversion outcomes."}, {"role": "user", "content": "Write a high-converting headline for our boutique hotel booking page."} ], temperature=0.6, ) print(response.choices[0].message.content) # Output: 'This hotel has amazing new rooms with a built-in jacuzzi.'
Engineered from the ground up for performance marketing, SEO agencies, and digital brands where text quality directly determines ROI.
Headlines, subheads, pricing cards, and checkout buttons optimized for raw purchase conversion. Eliminates the verbose, generic adjective soup produced by base models.
Articles, product guides, and technical essays that readers actually read to the very bottom. Pacing, rhythm, and cadence tuned on 70,000+ real session scroll completions.
Train dedicated private Resonance models on your brand's proprietary audience conversion history. Hosted on isolated VPCs with zero data leakage guarantees.
We are rolling out private API access to selected marketing platforms, content teams, growth engineers, and performance agencies. Receive your API key and benchmark dataset access.
Prompt engineering can change format or tone, but it cannot alter the fundamental token probability distributions baked into a foundation model's reward model. Standard models default to verbose, robotic, and flattened phrasing. Resonance-1 has been post-trained on real human behavioral outcomes: its weights fundamentally prefer completions that hold attention and trigger action.
Our underlying infrastructure, Seatext, runs live on approximately 2,500 websites with over 300 million visitor impressions. Over two years, our suite of 30+ marketing agents ran millions of live A/B tests against natural human copy. This produced 30,000+ verified head-to-head conversion pairs (tied to real Stripe purchases, leads, and bookings) and 70,000+ page-level reading snapshots measuring millisecond dwell time and scroll completion.
Yes. For enterprise brands and agencies with high visitor traffic, we offer private fine-tuned checkpoints trained on your brand's own historical conversion telemetry, customer reviews, and winning ad copy. These models are hosted on dedicated, isolated VPC endpoints with zero cross-tenant data sharing.
Resonance is our foundational copywriter model venture. Seatext is our operational marketing platform running on 2,500 websites, which serves as the automated continuous telemetry and data collection engine powering Resonance's post-training runs.
Trusted by 2,500+ high-growth brands to automate website performance & power model post-training