Sully API - Clinical Al Agents in Days, Not Quarters

SULLY API

FOR EMRS, EHRS & HEALTH-TECH TEAMS

Clinical AI agents

in days, not quarters.

Clinical AI agents

in days, not quarters.

Build agentic EMR workflows faster. Use clinical models trusted by 400+ healthcare providers. No MLOps team required, no hallucinations, no post-processing debt.

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POWERING AGENTIC WORKFLOWS AT

The Cost of Building It Yourself

Building clinical AI

in-house is expensive.

Building clinical AI

in-house is expensive.

Time to production

6–12 mo

ML engineering team hire

Data annotation pipeline

Clinical validation cycles

Regulatory compliance review

Continuous retraining loop

Hidden infra & ops cost

$2.4M/yr

Generic LLM API spend

Compute & GPU infrastructure

Fine-tuning pipeline

Compliance & security tools

Ongoing maintenance

Accuracy with generic LLMs

62%

Hallucinations in clinical notes

Inconsistent FHIR / HL7 output

Latency spikes at peak hours

Heavy post-processing required

Physician trust erosion

Specialists required

8–15

Senior ML engineers (2–3)

Prompt / context engineers (2–3)

AI research scientists (2)

Clinical specialists / MDs (2)

DevOps & QA (2–4)

Two Products · One Foundation

Two ways to deploy clinical AI. Same proven foundation.

Sully powers AI in production healthcare. Train once on 1.8M+ clinical

encounters. Deploy in seconds. No team assembly required.

Sully powers AI in production healthcare. Train once on 1.8M+ clinical encounters. Deploy in seconds. No team assembly required.

Your Agents + SullyLLM

Our Agents + SullyLLM

Your Agents + SullyLLM

Our agents + SullyLLM

Sully LLM · Model as a Service

For teams building

custom workflows.

Drop Sully's clinical reasoning model into your existing stack. API-

compatible with GPT / Claude — keep your orchestration, gain clinical

reliability.

Drop Sully's clinical reasoning model into your existing stack. API-compatible with GPT / Claude — keep your orchestration, gain clinical reliability.

Best For

EMRs and EHRs with existing orchestration layers

Product teams with custom agent pipelines

Organizations with proprietary integrations

Features

API-compatible with existing workflows — zero refactoring

FHIR R4 / HL7 structured outputs, production-ready

Bring your own orchestration (LangChain, LlamaIndex, custom)

Data stays in your infrastructure

Quarterly model updates, free

Sully Agents · Fully Managed

For teams that want to

ship tomorrow.

Production-ready agents — Scribe, Receptionist, Consultant — fully

trained, fully compliant, fully hardened. No pipeline to build. No team to

hire.

Production-ready agents — Scribe, Receptionist, Consultant — fully trained, fully compliant, fully hardened. No pipeline to build. No team to hire.

Best For

Organizations wanting immediate ROI

Teams without in-house AI expertise

Fast-moving EMRs and strategic EHR partnerships

WHAT'S INCLUDED

Fully managed infrastructure & autoscaling

HIPAA / BAA compliant · audit-ready logs

24/7 monitoring & incident response

White-label customization options

Continuous accuracy improvements

Sully LLM

93.8%

189ms

$0.68

2-3 days

Sully LLM

Sully Agent

Generic LLM

Sully LLM

Clinical coding accuracy

62%

89%

Average latency

850ms

189ms

Cost per 1K requests

$4.20

$0.68

Time to integration

4-8 weeks

2-3 days

Time to integration

4-8 weeks

2-3 days

Sully LLM

93.8%

189ms

$0.68

2-3 days

Sully LLM

Sully Agent

Generic LLM

Sully LLM

Clinical coding accuracy

62%

89%

Average latency

850ms

189ms

Cost per 1K requests

$4.20

$0.68

Time to integration

4-8 weeks

2-3 days

Time to integration

4-8 weeks

2-3 days

Sully LLM

93.8%

189ms

$0.68

2-3 days

Sully LLM

Sully Agent

Generic LLM

Sully LLM

Clinical coding accuracy

62%

89%

Average latency

850ms

189ms

Cost per 1K requests

$4.20

$0.68

Time to integration

4-8 weeks

2-3 days

Time to integration

4-8 weeks

2-3 days

Why Sully?

Why healthcare

leaders choose us.

Why healthcare

leaders choose us.

Why healthcare

leaders choose us.

Purpose-built clinical foundation model. Trained on real encounters — not scraped forums. Benchmarked on 12+ specialties, outperforming GPT-5 and Claude 4.6 on clinical tasks.

89%

Clinical accuracy

Trained on 1.8M+ real encounters

Outperforms GPT-5 and Claude 4.6

Learning from 50M clinical hours

Built-in safety guardrails

83% cheaper

Than alternatives

$0.68 / 1K vs $3.80–4.20

No infrastructure to run

No fine-tuning overhead

Predictable pricing, no surprises

4.5× faster

Inference speed

189ms average latency

Real-time clinician workflows

Live in days, not quarters

No post-processing engineering

Prod-ready

Built for healthcare

FHIR R4 / HL7 structured outputs

Structured JSON — not text

Evaluation framework included

Audit-ready & BAA compliant

Benchmarks · Q1 2026

Sully vs. frontier models.

The numbers.

Sully vs. frontier models.

The numbers.

Sully vs. frontier models.

The numbers.

Head-to-head on the clinical tasks your product actually depends on. Evaluated on 4,200 de-identified encounters across 12 specialties, scored by a panel of board-certified physicians.

Less is better

More is better

Sully outperforms frontier models on the clinical tasks your product depends on — at a fraction of the cost, with production-grade latency.

Clinical Coding

ICD-10 · CPT accuracy

Note Generation

SOAP · H&P fidelity

Clinical Reasoning

Differential & plan accuracy

Avg Latency

P50, single request

Cost per 1k Requests

At list price

Less is better

More is better

Purpose-built LRMs

From zero to clinical AI

in three steps.

From zero to clinical AI

in three steps.

From zero to clinical AI

in three steps.

Choose your path

Need custom workflows? Use Sully LLM. Need immediate deployment? Use a pre-built Agent.

Custom workflows

→ LLM

Immediate deploy

→ Agent

Integrate

LLM: swap your model endpoint, update system prompts, test with your data. Agent: configure your EHR, map workflows, run compliance check.

LLM path

2–3 days

Agent path

Same day

Monitor & improve

Real-time dashboards. Quarterly model updates, free. Customer-feedback loop. Optional fine-tuning on your own data.

Updates

Quarterly

Fine-tune

Optional

Deployed at Scale

Production healthcare, improving daily.

The numbers behind the Sully foundation model — the same model powering both LLM and Agents.

50M

Clinical hours processed

1.8M+

Encounters in training data

3.3M

ICD-10 codes mastered

3.3M

ICD-10 codes mastered

5.2TB

Audio processed

5.2TB

Audio processed

13,000+

Healthcare providers

89%

Clinical accuracy · vs 62% baseline

The Cost of Choice

Four paths to clinical AI.

Only one ships this quarter.

Four paths to clinical AI.

Only one ships this quarter.

Four paths to clinical AI.

Only one ships this quarter.

We laid our own offerings against the alternatives most EMR teams are weighing in 2026.

Build in-house

Generic LLM

Sully LLM

Sully Agent

Time to Production

6–12 mo

Hire, train, validate

3–4 mo

Plus post-processing

2–3 days

Drop-in API

Same day

Fully managed

Team Required

8–15

Specialists

3–4

Engineers

Engineer

engineers

Annual Cost

$2–4M

Payroll + infra

$2.4M+

API + ops

$400–800K

Usage-based

$100–300K

All-in

Clinical Accuracy

62–72%

62–74%

89%

91%

Latency

800+ ms

189 ms

<200 ms

Maintainance

Continuous

Ongoing

Post-processing

None

Fully managed

Sully Agent

Recommended

Same day

Fully managed

Engineers

$100–300K

All-in

93%

<200 ms

Fully managed

Build in-house

Generic LLM

Sully LLM

Sully Agent

Time to Production

6–12 mo

Hire, train, validate

3–4 mo

Plus post-processing

2–3 days

Drop-in API

Same day

Fully managed

Team Required

8–15

Specialists

3–4

Engineers

Engineer

engineers

Annual Cost

$2–4M

Payroll + infra

$2.4M+

API + ops

$400–800K

Usage-based

$100–300K

All-in

Clinical Accuracy

62–72%

62–74%

89%

91%

Latency

800+ ms

189 ms

<200 ms

Maintainance

Continuous

Ongoing

Post-processing

None

Fully managed

Sully Agent

Recommended

Same day

Fully managed

Engineers

$100–300K

All-in

93%

<200 ms

Fully managed

Build in-house

Generic LLM

Sully LLM

Sully Agent

Recommended

Time to Production

6–12 mo

Hire, train, validate

3–4 mo

Plus post-processing

2–3 days

Drop-in API

Same day

Fully managed

Team Required

8–15

Specialists

3–4

Engineers

Engineer

Same day

Fully managed

Annual Cost

$2–4M

Payroll + infra

$2.4M+

API + ops

$400–800K

Usage-based

Same day

Fully managed

Clinical Accuracy

62–72%

62–74%

89%

Same day

Fully managed

Latency

800+ ms

189 ms

Same day

Fully managed

Maintainance

Continuous

Ongoing

Post-processing

None

Same day

Fully managed

Buyers FAQs

Is Sully HIPAA compliant?

Yes. Sully is HIPAA/BAA compliant with audit-ready logs, built-in safety guardrails, 24/7 monitoring, and incident response. With the LLM option, your data stays in your infrastructure.

Can I use Sully with my existing stack?

Yes. Sully LLM is API-compatible and acts as a drop-in replacement for GPT/Claude, so you can keep your current orchestration layer with no refactoring required.

Can the model be fine-tuned on our proprietary data?

Yes. Custom fine-tuning is supported, and Sully handles quarterly training cycles with no engineering lift on your side.

What outputs does Sully produce?

Structured JSON (not raw text), with native support for FHIR R4 and HL7 formats — ready for direct integration into EHR/EMR systems.

Do I need to manage infrastructure?

No. Sully provides fully managed infrastructure with autoscaling. For Agents, there's nothing to run or maintain. For the LLM path, you can choose to keep data in your own infrastructure.

Who is Sully built for?

EMR/EHR teams with existing orchestration layers, healthcare orgs without in-house AI expertise, and any team needing fast ROI without a multi-month build cycle.

Your AI is only as

good as your models.

Use the best.

Your AI is only as

good as your models.

Use the best.

Your AI is only as

good as your models.

Use the best.

Book a demo