Platform
Solutions
Customers
Resources
Pricing Book a demo
Platform · Models & modality

Any model. Any modality. Zero lock-in.

Draft & Goal is model-agnostic by design. Choose the best model for each step — frontier or open-weight, hosted or quantized on your own GPUs — and work across text, vision, image, audio, music, video, and reasoning in a single workflow. Swap providers without re-platforming.

routed fallback on failure governed by policy
Capabilities

Maximum flexibility, by design.

Model-agnostic

Every major provider behind one interface. Pick a model per node and swap anytime — no rewrites.

Open + closed

Frontier closed APIs or open-weight models. Choose the cost, latency, and control trade-off you want.

Truly multimodal

Text, vision, image, audio, music, and video — composed in a single governed workflow.

Reasoning on demand

Switch on extended thinking for hard steps; route fast, cheap models for everything else.

Quantized & self-hosted

Run 4-bit / 8-bit open models on your own GPUs via vLLM, Ollama, or TGI — in your VPC.

No lock-in

Bring your own keys and private endpoints. Route, fall back, and cost-optimize across vendors.

The model zoo

Frontier or open-weight — your call.

Connect the models your teams already trust and the new ones shipping every month (June 2026 lineup shown). Closed frontier APIs and open-weight models live side by side; pick the right one for each task.

OpenAI

GPT-5 · o-series · Sora · Whisper

Anthropic

Claude Opus 4.8 · Sonnet 4.6 · Fable 5

Google

Gemini 3 Pro · Gemma 3 · Imagen 4 · Veo 3

Meta

Llama 4 (open weights)

Mistral AI

Mistral Large · Magistral · Pixtral

DeepSeek

DeepSeek-R1 · DeepSeek-V3

Alibaba

Qwen3 · Qwen-VL

xAI

Grok 4

Moonshot AI

Kimi K2

Every modality, one canvas

Not just text.

Compose across modalities in the same workflow — transcribe a call, reason over it, generate the visuals, and render a video, each on the best model for the job.

Text & language

Generation, extraction, classification, translation — GPT-5, Claude Opus 4.8, Gemini 3, Llama 4, Mistral, Qwen3.

Vision

Read images, screenshots, charts, and PDFs — GPT-5, Claude, Gemini 3, Qwen-VL, Pixtral, Llama 4.

Image generation

On-brand visuals at scale — GPT Image, Imagen 4, FLUX.1, Stable Diffusion 3.5, Midjourney v7, Ideogram.

Audio & speech

Transcription and natural voice — Whisper, OpenAI Realtime, ElevenLabs, Deepgram, Gemini audio.

Music & sound

Tracks, jingles, and sound design — Suno, Udio, Stable Audio, ElevenLabs SFX.

Video generation

Clips and product shots — Sora, Veo 3, Runway Gen-4, Kling 2, Seedance, Pika.

Reasoning

Deep multi-step thinking — o-series, DeepSeek-R1, Claude extended thinking, Gemini thinking, Magistral, Qwen3.

Open, closed, or your own weights

Run it however your security team needs.

Use a hosted frontier API for peak quality, or run an open-weight model quantized on your own GPUs for control and cost. Same workflow, same governance — you choose where inference happens.

Closed APIsOpen weightsQuantized 4-bit / 8-bit (GGUF · AWQ · GPTQ)Self-hosted GPUsvLLM · Ollama · TGIPrivate / VPC endpointsBring your own API keysOn-prem
Deployment options

Inference runs where you want it

One model, four ways to ship it — vendor cloud, your own GPUs, a quantized footprint, or a private VPC endpoint that never leaves your network.

Draft & Goal logo
Model
Draft & Goal logo
Draft & Goal
flexible inference
Hosted API RUNNING
Fully managed on vendor cloud — zero ops.
Self-hosted GPU RUNNING
Your own hardware — full control of data.
Quantized RUNNING
Smaller footprint — commodity or edge devices.
Private VPC endpoint RUNNING
Inside your perimeter — traffic never leaves.
Reasoning when it counts

Extended thinking, only where you need it.

Turn on reasoning-grade models for the hard steps — planning, multi-constraint decisions, code, analysis — and keep fast, inexpensive models for routine work. Tune the reasoning effort per node and watch the cost/quality trade-off in real time.

Route, fall back, optimize

The right model, automatically.

Set a model per node, add fallbacks for resilience, and route by cost, latency, or capability. When a provider rate-limits or a new model ships, switch in one place — no re-platforming.

Per-node model selection
Automatic fallback
Cost / latency routing
Capability-based routing
Side-by-side model eval
One-click model swap
Example

A multimodal campaign, end to end.

Input: audio brief Whisper: transcribe Claude Opus 4.8: reason + plan FLUX.1: generate visuals Veo 3: render video Download

Each node picks its own model and modality. Swap any of them — Whisper for Deepgram, FLUX for Imagen 4, Veo for Sora — without touching the rest of the workflow.

How it works

Pick, route, swap.

01

Pick per node

Assign the best model and modality to each step — frontier, open-weight, or quantized.

02

Route & fall back

Add fallbacks and route by cost, latency, or capability for resilient runs.

03

Govern & observe

Every model call is scoped, logged, and traceable — with cost and token usage per step.

04

Swap without re-platforming

New model ships? Change it in one place. Your workflows keep running.

Each node shows its model, modality, and reasoning effort.
Get started

Show us the workflow.
We'll show you the 10x.

Bring the marketing workflow that eats your week. We'll build it live, with your data and your models, in 30 minutes.