The #1 model on GTMBench — built to act, not just answer.
Nico 2.8 is Macrodeep’s latest model — a large language model trained end-to-end for go-to-market: research, outreach, qualification, and the judgment that ties them together. It powers every Macrodeep product — and it’s available to build on directly through the API.
Most models describe the motion. Nico 2.8 runs it.
A general model can write an email. A GTM model knows which account, why now, and what to do when the reply lands. Nico 2.8 is trained on the full loop — sourcing, enrichment, scoring, sequencing, and qualification — so it reasons in the currency of pipeline, not prose.
Runs the whole motion
Hand Nico 2.8 a goal and it plans the run, calls the tools, and drives it to a finished state — not a paragraph of advice, but accounts sourced, scored, and synced.
Reads intent, not keywords
It scores replies, buying signals, and ICP fit the way a strong rep would — weighing context, timing, and history to decide what deserves a human and what it can advance.
Tool-native by default
Salesforce, HubSpot, Clay, Slack and 70+ more aren't plugins bolted on after training — Nico 2.8 learned to call them, chain them, and recover when one fails.
A GTM model, measured on GTM work.
Scores from GTMBench, the public go-to-market benchmark — September 2026 run, 2,946 graded tasks across 30 models. Nico 2.8 ranks #1 overall at 93.2; the next-best model, GPT-6 Astra, scores 89.6 and leads on account research, company & persona research, and call analysis.
Everywhere Macrodeep works — including your code.
Illustrative list pricing per million tokens. Tool calls to connectors are metered separately.
Autonomy you can actually deploy.
A model that acts needs oversight built into the weights, not bolted on with a prompt. Nico 2.8 is trained to respect the approval boundary — and every run is legible, interruptible, and logged.
Build on the model that acts.
API access is coming soon. Try Nico, the app, today.