SULLY API

SULLY API

FOR EMRS, EHRS & HEALTH-TECH TEAMS

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 teamrequired, no hallucinations, no post-processing debt.

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

POWERING AGENTIC WORKFLOWS AT

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The Cost of Building It Yourself

The Cost of Building It Yourself

Building clinical AI

in-house is expensive.

Building clinical AI

in-house is expensive.

Time to production

Time to production

6–12 mo

6–12 mo

ML engineering team hire

ML engineering team hire

Data annotation pipeline

Data annotation pipeline

Clinical validation cycles

Clinical validation cycles

Regulatory compliance review

Regulatory compliance review

Continuous retraining loop

Continuous retraining loop

Hidden infra & ops cost

Hidden infra & ops cost

$2.4M/yr

$2.4M/yr

Generic LLM API spend

Generic LLM API spend

Compute & GPU infrastructure

Compute & GPU infrastructure

Fine-tuning pipeline

Fine-tuning pipeline

Compliance & security tools

Compliance & security tools

Ongoing maintenance

Ongoing maintenance

Accuracy with generic LLMs

Accuracy with generic LLMs

62%

62%

Hallucinations in clinical notes

Hallucinations in clinical notes

Inconsistent FHIR / HL7 output

Inconsistent FHIR / HL7 output

Latency spikes at peak hours

Latency spikes at peak hours

Heavy post-processing required

Heavy post-processing required

Physician trust erosion

Physician trust erosion

Specialists required

Specialists required

8–15

8–15

Senior ML engineers (2–3)

Senior ML engineers (2–3)

Prompt / context engineers (2–3)

Prompt / context engineers (2–3)

AI research scientists (2)

AI research scientists (2)

Clinical specialists / MDs (2)

Clinical specialists / MDs (2)

DevOps & QA (2–4)

DevOps & QA (2–4)

“87% of EMRs are investing in AI workflows.
But 73% cite cost and complexity as the primary blocker to shipping agentic copilots by 2027 — 2026”

“87% of EMRs are investing in AI workflows. But 73% cite cost and complexity as the primary blocker to shipping agentic copilots by 2027— 2026”

-KLAS Agentic EMR Readiness Report

-KLAS Agentic EMR Readiness Report

Two Products · One Foundation

Two Products · One Foundation

Two ways to deploy clinical AI. Same proven 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

Your Agents + SullyLLM

Your Agents + SullyLLM

Our Agents + SullyLLM

Our Agents + SullyLLM

Our Agents + SullyLLM

Your Agents + SullyLLM

Your Agents + SullyLLM

Your Agents + SullyLLM

Your Agents + SullyLLM

Your Agents + SullyLLM

Your Agents + SullyLLM

Our agents + SullyLLM

Our agents + SullyLLM

Our agents + SullyLLM

Our agents + SullyLLM

Our 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

89%

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

89%

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

89%

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 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.

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%

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

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

4.5× faster

Inference speed

189ms average latency

Real-time clinician workflows

Live in days, not quarters

No post-processing engineering

Prod-ready

Prod-ready

Built for healthcare

FHIR R4 / HL7 structured outputs

Structured JSON — not text

Evaluation framework included

Audit-ready & BAA compliant

Benchmarks · Q1 2026

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.

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

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.

01

01

01

Choose your path

Choose your path

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

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

Custom workflows

→ LLM

Immediate deploy

→ Agent

02

02

02

Integrate

Integrate

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

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

03

03

03

Monitor & improve

Monitor & improve

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

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

Deployed at Scale

Production healthcare, improving daily.

Production healthcare, improving daily.

Production healthcare, improving daily.

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

50M

50M

Clinical hours processed

Clinical hours processed

1.8M+

1.8M+

Encounters in training data

Encounters in training data

3.3M

ICD-10 codes mastered

3.3M

ICD-10 codes mastered

5.2TB

Audio processed

5.2TB

Audio processed

400+

400+

Healthcare partners

Healthcare partners

89%

89%

Clinical accuracy · vs 62% baseline

Clinical accuracy · vs 62% baseline

“ We went from 6 months of engineering planning to

live in 10 days. Clinical accuracy improved from

71% to 91% on day one. The ROI is immediate — and

it's the kind of decision you make once.”

- Dr. Derin Patel, MD, Founder

//Before

Spending $2.4M/yr on generic LLM APIs.

62% accuracy.

Constant post-processing engineering debt

//After

Integrated Sully LLM in 11 days.

89% accuracy.

$400K annual spend, zero engineering overhead.

//Net Impact

$2.0M saved.

27 pts accuracy lift.

4 engineers redeployed

“ We went from 6 months of engineering planning to live in 10 days. Clinical accuracy improved from 71% to 91% on day one. The ROI is immediate — and it's the kind of decision you make once.”

- Dr. Derin Patel, MD, Founder

//Before

Spending $2.4M/yr on generic LLM APIs.

62% accuracy.

Constant post-processing engineering debt

//After

Integrated Sully LLM in 11 days.

89% accuracy.

$400K annual spend, zero engineering overhead.

//Net Impact

$2.0M saved.

27 pts accuracy lift.

4 engineers redeployed

“ We went from 6 months of engineering planning to live in 10 days. Clinical accuracy improved from 71% to 91% on day one. The ROI is immediate — and it's the kind of decision you make once.”

- Dr. Derin Patel, MD, Founder

//Before

Spending $2.4M/yr on generic LLM APIs.

62% accuracy.

Constant post-processing engineering debt

//After

Integrated Sully LLM in 11 days.

89% accuracy.

$400K annual spend, zero engineering overhead.

//Net Impact

$2.0M saved.

27 pts accuracy lift.

4 engineers redeployed

The Cost of Choice

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

1

Engineer

0

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

800+ ms

189 ms

<200 ms

Maintainance

Continuous

Ongoing

Post-processing

None

Fully managed

Sully Agent

Recommended

Same day

Fully managed

0

Engineers

$100–300K

All-in

91%

<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

1

Engineer

0

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

800+ ms

189 ms

<200 ms

Maintainance

Continuous

Ongoing

Post-processing

None

Fully managed

Sully Agent

Recommended

Same day

Fully managed

0

Engineers

$100–300K

All-in

91%

<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

1

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

800+ ms

189 ms

Same day

Fully managed

Maintainance

Continuous

Ongoing

Post-processing

None

Same day

Fully managed

Buyers FAQs

Buyers FAQs

Buyers FAQs

Can I customize Sully models for my specific workflows?

Yes. Both LLM and Agent offerings support custom fine-tuning on your proprietary data. This is typically done quarterly and requires no engineering lift from your team, we handle the training pipeline, you approve the eval deltas.

How does data privacy work?

Yes. Both LLM and Agent offerings support custom fine-tuning on your proprietary data. This is typically done quarterly and requires no engineering lift from your team, we handle the training pipeline, you approve the eval deltas.

What happens if I need to switch away?

Yes. Both LLM and Agent offerings support custom fine-tuning on your proprietary data. This is typically done quarterly and requires no engineering lift from your team, we handle the training pipeline, you approve the eval deltas.

Do I need to retrain models with my data?

Yes. Both LLM and Agent offerings support custom fine-tuning on your proprietary data. This is typically done quarterly and requires no engineering lift from your team, we handle the training pipeline, you approve the eval deltas.

What's the typical ROI timeline?

Yes. Both LLM and Agent offerings support custom fine-tuning on your proprietary data. This is typically done quarterly and requires no engineering lift from your team, we handle the training pipeline, you approve the eval deltas.

Which EHRs do you integrate with?

Yes. Both LLM and Agent offerings support custom fine-tuning on your proprietary data. This is typically done quarterly and requires no engineering lift from your team, we handle the training pipeline, you approve the eval deltas.

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.