Find the Best LLM for Your Use Case — in Minutes
Stop choosing models by hype and leaderboards. Describe your use case, and our selection framework runs a transparent, evidence-based pipeline to recommend the right LLM — or the right mix of LLMs.
From a plain-English description to a defensible model decision
Give it a name and description — outcome, users, volume, languages, latency needs, privacy constraints, and budget. E.g. resume screening, invoice extraction, financial analysis.
A 5-stage pipeline decomposes your use case into atomic tasks, builds a candidate model list, and scores every model 0–100 with weighted dimensions and hard gates.
See the winning LLM (or per-task routing when no single model wins), runner-up scores, and a full step-by-step trace of how the decision was made.
Every recommendation is built stage by stage — nothing is a black box
Breaks your use case into real atomic tasks with a flow map, importance tiers, and internal vs external data origin.
Builds a sourced, confidence-rated list of candidate models, each with a 7-attribute profile — from architecture to training data and cost.
Turns each task into a 13-dimension weight vector: accuracy, latency, cost, context window, language, privacy, risk, and more.
Scores every model 0–100 per task. Models that fail hard gates — like modality or data-residency policy — are excluded with the reason shown.
Picks a single winner when one model leads across tasks — or routes each task to its own best LLM, with a single-model fallback.
Built for enterprise decisions, not benchmark bragging rights
Choose cloud, hybrid, or on-prem only. Hard data-residency rules exclude cloud-only models automatically — and hybrid keeps internal-data steps on-prem.
When no single model wins everything, it tells you which LLM to use for which task — the way real production systems are built.
Every score, weight, gate, and justification is shown. Expand the full pipeline trace and audit exactly how the decision was reached.
Facts are confidence-rated, so you know what to verify against current model cards before sign-off. Evidence over reputation, always.
It's free, takes minutes, and gives you a decision you can defend. Describe your use case and let the pipeline do the rest.