GMP ready · AWS server

QYNARA Raw Spectra to Released Batch.
In Seconds.

One platform for NIR, Raman, Real-NIR and QCL · MID-IR analysis — built for pharma & food teams who need conformance, sign-off and a full audit trail in one workflow.

Modalities
4
NIR · Raman · MIR · Real-NIR
Compliance
21 CFR
Part 11 audit trail
Industries
Pharma & Food
QC labs
Status
Beta
AI tool pending
Product · Mission

Quality analysis was fragmented.
We unify it.

QC labs juggle three or four different spectroscopy systems — each with its own software, its own chemometrics, its own export format. Comparing batches across modalities is painful. Signing them off under GMP / 21 CFR Part 11 is even worse.

QYNARA is a single command centre for spectral data across NIR, Raman, Mid-IR and Real-NIR — with sign-off workflow, conformance analysis and a tamper-evident audit trail built in.

  • Multi-modal

    Ingest NIR, Raman, MIR & Real-NIR side-by-side in one batch.

  • Chemometrics built-in

    SNV+SG₁, PLS-R, Hotelling T², SIMCA — out of the box.

  • Sign-off workflow

    Pending → Released / Rejected / Investigation, with analyst attribution.

  • 21 CFR Part 11

    Every action is logged, hashed and exportable for inspection.

Use cases

One platform.
Many regulated workflows.

Pharma
01

Pharmaceutical QC

Identity, content uniformity and polymorph control across raw materials, in-process and finished dosage forms — signed off under GMP / 21 CFR Part 11.

  • Incoming raw material ID (NIR / Raman)
  • Blend uniformity & moisture (NIR)
  • Polymorph screening through vial (Raman)
Read more →
Food
02

Food & Beverage

Non-destructive composition, authenticity and contaminant screening from farm to finished product — at-line or on the production rail.

  • Protein / fat / moisture (NIR)
  • Adulteration & origin (MID-IR)
  • Foreign object detection (Real-NIR imaging)
Read more →
Pathology
03

Pathology & Biotech

Label-free chemical imaging of tissue and cells — bring spectral histology into a reproducible, auditable workflow alongside classical staining.

  • Label-free tissue classification (MID-IR / Raman)
  • Per-pixel chemometrics on whole slides (Real-NIR)
  • Reproducible cohorts with full audit trail
Read more →
Technical details

Four modalities.
One chemometric core.

QCL · MID-IR
01

Fingerprint region — identification & impurity screening.

NIR
02

Fast non-destructive content uniformity & moisture.

Raman
03

Polymorph ID, through-package & through-vial.

Real-NIR
04

Hyperspectral VIS-NIR imaging — per-pixel chemometrics.

How it works
Import → Report
01
Import

Load measurements from any instrument.

02
Clean

Remove noise and prepare the data.

03
Analyze

Identify substances and predict values.

04
Check

Confirm results are reliable.

05
Report

Signed PDF with full audit trail.

Spectrum · normalized400–2500 nm
GMP · 21 CFR Part 11

E-signatures, immutable audit trail, RBAC.

DSGVO / GDPR

EU data residency. No spectral data leaves your tenancy.

Instrument-agnostic

Bruker, Thermo, Agilent, Metrohm, specim, JCAMP-DX.

On-prem or cloud

Same binary deploys to your server or our hosted env.

Founding team

Built by lab people,
not by salespeople.

Spectroscopists, chemometricians and engineers — working hand in hand with QC teams across pharma and food industries in Europe.

Aruna Sherma

Aruna Sherma

CEO & Co-Founder

4+ years experience in pharmaceutical development. Expertize in Innovation Management and venture assessment of (deep-tech) Med-Tech start ups at ZEISS. Enrolled as M.Sc. physics student with focus on applications of quantum sensing. Selected for the Lindau Nobel Laureate Meeting 2026.

LinkedIn
Leon Koch

Leon Koch

CTO & Co-Founder

Enrolled as M.Sc. Physics with focus on theoretical physics simulations applying multiple programming languages (C++, Python, JavaScript). Expertize in Quantum Technology and Photonics.

LinkedIn
Franka Bruning

Franka Bruning

CFO & Co-Founder

Enrolled for MBA with focus on entrepreneurial brand building & growth marketing as well as business analytics. Strong foundation in translating complex technologies into compelling narratives and market positions.

LinkedIn
Jan Walther

Jan Walther

CPO & Co-Founder

M.Sc. Physics student with focus on spectroscopy applications and Photonics. Experience in leading technical product management for Digital Transformation & Innovation and developing Enterprise IT-strategy at Lufthansa Technik. 1+ years experience with documentation and regulations in process engineering.

LinkedIn
Eva Römer

Eva Römer

CSO & Co-Founder

M.Sc. Physics student focusing on biomedical engineering and chemometrics. Experience in the intersection of AI and bio-modeling.

LinkedIn

 

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Talk to us

Book a 30-min call with the team.

Pick any open slot directly from our team's Google Calendar. We'll walk you through the platform, show you how multi-modal analysis works on your spectra, and answer anything about deployment, compliance or chemometrics.