Built From The Grading Room Floor Up.

Consistent Grain Grading.
Every Sample.
Every Location.
Verified Through Visual Evidence.

Standardize grading across facilities, reduce training requirements, and generate documented results that can be reviewed, shared, and verified.

CerePulse AutoGrader
CerePulse AutoGrader machine
300g
Sample Size
2022
Deployed
Bench-top
System
Developed Since 2018
Operationally Deployed Since 2022
Deployed Across Commercial Grain Operations in Canada
Refined Through Thousands of Real-World Samples
US Patent Pending

Why Consistency Matters

Grading decisions influence grower payments, processing quality, inventory management, and customer confidence — yet most organizations rely on processes that vary between locations, shifts, and operators.

The Grader's Challenge

Even highly experienced graders can reach different conclusions when evaluating the same sample. Staff turnover compounds the problem — the expertise of your best grader is difficult to transfer and scale up, leaving gaps in consistency.

When grading decisions are questioned by growers or customers, organizations often lack the documented evidence to support or explain those decisions with confidence.

The result is inconsistency, training challenges, documentation gaps, and difficult conversations at the worst possible times.

Organizations need a grading process that delivers repeatable results while maintaining the transparency and documentation to support every decision made.

Inconsistent grading between locations

Same crop, different facility, different result

Inconsistent grading between operators

Individual interpretation creates variability

Training challenges

Difficult to transfer grading knowledge to new staff

Documentation limitations

No visual record to support grading decisions

Lack of transparency

Decisions difficult to explain or verify after the fact

Maintaining grading standards

Standards drift over time without enforcement mechanisms
CerePulse interior — hopper, vibrating tray, and camera

Meet CerePulse AutoGrader

Your experienced graders define the standard. CerePulse AutoGrader captures that expertise and applies it consistently — across every sample, shift, and location.

CerePulse AutoGrader is a bench-top grain grading platform designed for grain elevators, pulse processors, seed companies, and quality assurance teams.

Using advanced imaging and configurable grading models, it evaluates each grain sample against your defined methodology — then provides visual documentation of every identified defect.

Captures your best graders' expertise and applies it to every sample and location
Documents grading standards from your team's expertise, updated as they evolve
Visual evidence generated for every grading decision
Digital records stored, reviewed, and shared

Built for Consistency. Designed for Confidence.

Consistency Across Locations

Apply the same grading methodology across facilities, shifts, and operators. Maintain grading standards throughout your organization regardless of who is running the analysis.

Visual Verification

Review identified defects through image records that provide transparency and confidence in every grading decision. See exactly what was found, and why.

Reduced Training Requirements

Help new operators become productive more quickly. A standardized grading process reduces the institutional knowledge burden on experienced staff.

Digital Documentation

Generate electronic grading records that can be stored, reviewed, analyzed, and shared — supporting traceability, reporting, and dispute resolution.

Adaptable Standards

Grading models can be adjusted year-to-year to align with changing crop conditions, customer specifications, and evolving industry requirements — without retraining staff.

Proven Development

Developed since 2018 and deployed operationally since 2022 across commercial grain operations in Canada. Built through years of real-world use, continuous refinement, and thousands of analyzed samples.

See It In 45 Seconds

Product demonstration video — coming soon

Confidence Through Verification

Traditional grading relies on an individual's interpretation. CerePulse adds a layer of documented confidence — visual evidence supporting every grading decision that can be reviewed, shared, and verified.

Grading Report Output
CerePulse software interface showing grading analysis
Category% RejectsCount
Blight0.71%10
Insect0.71%10
Mechanical Damage0.57%8
Split4.17%59
Good93.78%1327
Accepted vs. Rejected — Physical Sort
Good beans bin and rejected beans bin after physical sorting
Visual Classification — Every Seed Imaged and Categorized
Individual seed images categorized by defect type — blight, insect, mechanical damage, split, and good

See exactly what was identified and why.

Addressing the trust question directly. CerePulse doesn't replace the grader's judgment — it standardizes the methodology and documents the evidence. Every classification is backed by an image record that any team member, manager, or customer can review and verify. The grading process becomes transparent, not just the result.

Your Grader Sets the Standard.

CerePulse AutoGrader captures your experienced graders' expertise and applies it consistently — across every sample, every shift, every location.

Grader Defines the Standard

Your experienced grader works with CerePulse to establish what good looks like — setting thresholds and defect categories based on your specific requirements.

CerePulse Captures It

Dual-camera imaging analyzes each seed individually. The configured grading model classifies defects and sorts rejects — applying your standard with machine consistency.

Applied Everywhere

Every sample at every location is graded to the same standard — with a visual evidence report generated and stored for every run, building a fully auditable record.

CerePulse interior showing hopper, vibrating tray, and Camera 1

Hopper, vibrating tray, and dual-camera imaging system

Paddle sorting mechanism directing beans to good and damaged bins

Paddle sorting mechanism — defects physically directed to reject bin

Comprehensive Defect Identification

What CerePulse Evaluates

  • Splits
  • Cracks
  • Disease
  • Mechanical Damage
  • Insect Damage
  • Foreign Material
  • Colour Variations
  • Surface Defects

Additional grading models and defect categories can be configured as requirements evolve.

Supported Crops

  • Navy Beans
  • Pinto Beans
  • Black Beans
  • Kidney Beans
  • Soybeans

Additional crop support available through configurable grading models.

Adaptable Year-to-Year Grading parameters can be updated annually to align with changing crop conditions, customer specifications, and evolving industry grading standards.

Complete Grading Record — Every Sample

Every grading run is logged with full detail — timestamps, operator, sample type, defect percentages, and weights — creating an auditable history across all locations.

Bean Analyzer V2 data log showing grading history with defect categories across multiple samples

Built for the Industry

Grain Elevators

Standardize grading across multiple locations. Reduce variability between operators and shifts. Generate documented records that support grower conversations and internal quality reporting.

Pulse Processors

Gain greater visibility into incoming product quality and grading trends. Apply consistent standards across receiving operations to support procurement and customer specifications.

Seed Companies

Apply repeatable grading standards across programs and locations. Maintain documentation to support seed quality programs and regulatory reporting requirements.

Quality Assurance Teams

Support traceability, internal reporting, and continuous improvement. Build an auditable grading record that demonstrates consistency and supports organizational accountability.

Trusted by Industry

[Customer testimonial placeholder — to be added following commercial rollout. This section will feature direct quotes from grain elevator operators, quality managers, and processing facilities validating the consistency, documentation, and operational value of CerePulse AutoGrader.]

— Name, Title, Organization

Built Through Years of Real-World Development

2018
Initial concept and development begins. Feasibility study and early prototyping.
2022
First production unit deployed. Operational grading begins on real-world samples.
2022–Present
Continuous refinement through thousands of samples. Hardware and software continuously improved.
Today
Commercial rollout of CerePulse AutoGrader. Available for demonstration and deployment.
CerePulse development timeline from 2018 feasibility study through commercial rollout
Get Started

See CerePulse
in Action

Discover how CerePulse can help standardize grading, improve confidence in grading decisions, and create a more transparent grading process across your organization.

Live demonstration on real samples
Review software outputs and grading reports
Discuss your specific grading application
No commitment required

Deployed and tested at scale

CerePulse has been operationally deployed and refined through continuous real-world use since 2022, across commercial grain operations in Canada, with ongoing comparison testing across thousands of samples.

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Thank you. A member of the CerePulse team will be in touch within one business day to schedule your demonstration.