Regulatory·Clinical·Grants

Critical document workflows.
AI in the loop, experts in control.

You own the document. We run the workflow.

We are the execution layer for the teams who own critical biomedical documents. You keep the strategy, the interpretation, and the sign-off. We run the production workflows behind regulatory, clinical, and grant documents, so your senior people arrive at judgment, not compilation.

Get in Touch See the Evidence
Scroll
01 — What you get

What could your regulatory team accomplish if the literature review were already done?

A

Fast bottleneck relief

Most teams reach for help once the deadline is already real. We mobilize quickly, structure the work, and move literature review, SOTA analysis, or remediation forward when it is already on the critical path.

B

Systematic scrutiny before submission

Multi-step, AI-augmented checks for source-to-claim gaps, terminology drift, traceability weaknesses, and cross-document contradictions — before a notified body or a future screening workflow sees them.

C

Fast first findings

Accelerated intake, gap analysis, and issue triage — so you can see the shape of the problem in days and make a better scope decision.

Regulatory documents

SOTA reports, clinical-evaluation literature modules, CEP support, PMS documentation, PMCF reports. EU MDR primary; IVDR methodology within reach.

Clinical documents

Literature syntheses, systematic reviews, clinical study reports, and adjacent evidence-synthesis work supporting regulatory and scientific submissions.

Grant documents

Research grant proposals and academic submissions that require structured evidence synthesis and rigorous, deadline-disciplined compilation.

02 — Operating model

AI in the Loop. Experts in Control.

AI belongs in the workflow where it improves the work. Not where it owns the judgment. Humans orchestrate the process; the review level changes with task risk and measured reliability.

01

Extraction

Structured facts, study details, definitions, and source passages.

Review — calibrated checks
02

Traceability

Source-to-claim mapping, citation integrity, and terminology drift.

Review — source context
03

Synthesis

Evidence narrative, consistency, uncertainty, and reasoning quality.

Review — expert judgment
04

Escalation

Clinical interpretation, regulatory positioning, and final sign-off.

Decision — human authority
Moving review threshold

The check level moves up. As model performance and workflow harnesses improve, expert attention moves toward synthesis, reasoning, interpretation, and escalation.

03 — Clear roles

Where we execute. Where you decide.

Layer 1

Compilation

Literature search, screening, extraction, reference management, formatting. Rule-governed and time-intensive. This is where AI, under expert supervision, delivers the most leverage.

→ We execute against the scope you set.
Layer 2

Synthesis

Evidence narrative, first-pass appraisal, methodology application, regulatory structure. We exercise craft judgment here — search strategy design, appraisal calls, structural decisions that hold up against MEDDEV and MDR expectations.

→ We execute, craft judgment included.
Layer 3

Strategic Regulatory Judgment

Submission pathway, clinical interpretation tied to product-specific context, risk-benefit decisions, equivalence claims, notified body query response. Requires internal knowledge and strategic intent no external partner can possess.

→ Your team. Your consultants. Never us.

"Two kinds of judgment run through a SOTA. We make the craft-level calls our track record is built on. You make the strategic-regulatory calls rooted in product knowledge and pathway context. That line is stable and defensible — in-house teams don't feel replaced, and consultancies don't feel undercut."

What we are not: regulatory strategy consultants, compliance advisors, or a replacement for your strategic expertise.
We stop where strategic regulatory judgment begins. By principle.

04 — Multi-model architecture

Stress-tested before a human ever reads it

Our workflows run multiple frontier AI models in parallel on every synthesis task. Outputs are consolidated, cross-checked against each other, then passed through automated QA — before any human reviewer sees the material.

STAGE 01
Input
Synthesis task
Frontier Model A
INDEPENDENT
Frontier Model B
INDEPENDENT
STAGE 02 · PARALLEL
STAGE 03
Consensus
Cross-check
STAGE 04
Automated QA
Citations · rules
STAGE 05
Expert
Judgment

By the time clinical and technical specialists engage, the synthesis has been stress-tested by independent AI perspectives and cleared automated gates. Human oversight goes further because the material is more consistent and more traceable.

Simplified view — production pipeline includes
additional QA checkpoints and grounding layers.
05 — Forward-looking scrutiny

Prepare for your notified body's AI

SOTAs written now may be reviewed in a more systematic environment within the next 6 to 18 months. Do not write a SOTA today that fails the checks tomorrow's review workflows are likely to run. Not by writing for an algorithm — by removing the inconsistencies that both human reviewers and AI-assisted screening can detect. Documentation built for the review it will actually meet.

Pre-Submission Scrutiny Report

A bounded, fixed engagement that screens your existing SOTA or clinical-evaluation file and returns fast first findings: source-to-claim gaps, terminology drift, traceability weaknesses, cross-document contradictions. Findings, not conclusions — anything needing clinical interpretation stays with your regulatory experts.

Ask about a report
06 — Evidence discipline

We measure the workflow, not just the output

Every AI-assisted step in our production workflows lands in front of a human reviewer, and every review decision is recorded inside the workflow itself.

Corrections are graded by severity and tracked per task type. The result is a production system whose quality is inspectable rather than asserted, in a form conservative reviewers can interrogate.

Recorded decisions
Human accept-or-correct decisions on AI-assisted steps are captured in the workflow itself, not reconstructed afterwards.
Severity grading
Corrections are classified from cosmetic to substantive, so real signal is separated from formatting noise.
Per-task tracking
Screening, appraisal, extraction, and synthesis are measured separately. Non-comparable work is never blended into one number.
Defensibility gates
A figure is quoted only after lineage, denominators, and adjudication hold up. Current figures are disclosed inside engagements.

We publish no performance numbers that have not passed those gates. What we can say plainly: we have delivered SOTA reports and clinical-evaluation evidence modules successfully submitted to notified bodies, under client regulatory direction, for medical device companies developing complex, high-risk products.

Correction-rate evidence · From our review records

Verification is the constant. Correction is the variable.

Our standing workflow evaluation shows recorded correction rates during mandatory human review have fallen sharply since spring 2026. Two things changed at once: a new model generation arrived, and we rebuilt our workflow harness around self-correcting loops with adversarial checking. The gain comes from both factors together, not from the models alone.

Screening decisions
8.1%
up to April 2026
to
1.1%
May 2026 onwards
Recorded correction rate during mandatory human review.
Full-text appraisal decisions
3.1%
up to April 2026
to
0.2%
May 2026 onwards
Recorded correction rate during mandatory human review.
Draft synthesis grounding
0%
residual unsupported claims
Residual unsupported claims in draft synthesis converge to zero through self-correcting grounding loops before human review begins.

Verification is unchanged: every deliverable passes full human expert review. What dropped is how much correction that review requires, and with it the billable hours a verified document takes. We bill effort, so that saving passes straight to our clients. Increased protection against detectable inconsistencies, not guaranteed acceptance.

How we count: denominators are recorded human review decisions in our workbooks; a correction means a reviewer changed the AI-prepared result, and cosmetic edits count as accepted. Grounding figures are residuals from automated source checks that run before human review. Figures are per task type, never blended. One construct, marked corrections in article summaries during human review, held roughly steady under a fuller review protocol, so we do not claim uniform improvement across every task. Lower correction rates mean increased protection against detectable inconsistencies, not guaranteed acceptance.

07 — Who we serve

Built for teams where senior expertise is the constraint

A · DEVICES

Medical device companies

With complex portfolios facing capacity pressure on senior regulatory, clinical, and quality staff.

B · CONSULTANCIES

Regulatory & grant consultancies

Production capacity without hiring. White-label available — we work under your client relationships and strategic direction, not around them.

C · SCALE-UPS

Scale-ups & founders

Navigating regulatory pathways on tight capital and timelines.

Ways to work with us

Service

01
Done for you

We produce defined document modules and evidence-synthesis deliverables using our AI-augmented workflows. Your team maintains strategic control. A bounded scrutiny report is the recommended first envelope.

Implementation

02
Built into your organization

We deploy our AI-augmented workflows inside your organization. You own the system; we provide processes, tooling integration, and enablement. Best for high volume and security or IP requirements.

Training

03
Transfer the capability

We teach your team to produce high-value documents using AI-augmented workflows with expert oversight protocols. Workshops, certification programs, and ongoing coaching.

Ready to free your team for strategic work?

Send us a note about your upcoming submissions and your team's capacity constraints. We'll respond with whether our workflows are a good fit.

Email contact@hvdaccel.com

Already have a SOTA or CER file? Ask about a bounded Pre-Submission Scrutiny Report.
Working on an evidence-heavy grant proposal? Ask about grant workflow capacity. Or connect on LinkedIn.