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Research · head to head

TetraScience vs Valispace

TetraScience logo

TetraScience

Research

Scientific data cloud that harmonises instrument output across the lab estate

From
On request
Rated
-
Full reviewWebsite
Valispace logo

Valispace

Research

Requirements and systems engineering for hardware teams, with published per-seat pricing

From
$999/year
Rated
-
Full reviewWebsite

The short version

  • Each has a real cost: TetraScience pricing is scoped on connected instruments and data engineering effort rather than a published unit, so the cost of adding a new laboratory or an acquired site is impossible to forecast without going back to the vendor.; Valispace the three-seat minimum means a solo consultant or a two-person startup pays for a seat nobody uses, roughly 3,000 US dollars a year before anyone logs in.
  • They diverge on capability: TetraScience covers Instrument connectors, Valispace covers Live requirements.
  • Prices and features above were last checked on 31 August 2026.

Where they differ

Only the attributes on which TetraScience and Valispace actually diverge.

Attributes where TetraScience and Valispace differ
AttributeTetraScienceValispace
Starting priceOn request$999/year
Pricing modelquotePer user per year
PlatformsWeb, Cloud, APIWeb, On-premise, API

Identical on both: free tier (No), user rating (Not yet rated), category (Research).

What each one covers

Drawn from each product's published feature list. An absence here means we hold no record of it - not that the product lacks it.

Only in TetraScience

  • Instrument connectors
  • Tetra Data harmonisation
  • Cloud-native data platform
  • GxP package
  • Scientific applications
  • Data provenance
  • Open access
  • AWS Marketplace availability

Only in Valispace

  • Live requirements
  • Budgets and margins
  • Component tree
  • Verification and validation
  • Python API and Jupyter
  • ValiAssistant
  • SSO and MFA

What people use each for

The jobs each tool is most often brought in to do.

TetraScience

  • A pharmaceutical company trying to make twenty years of chromatography data usable for modelling rather than trapped on instrument workstationsnot Valispace
  • A biotech building machine learning models on assay data that currently requires manual export from every instrumentnot Valispace
  • A quality control laboratory needing instrument data captured with provenance and audit trail for regulated usenot Valispace
  • A company consolidating data from acquired sites where each site runs a different instrument vendor and informatics stacknot Valispace

Valispace

  • A small satellite team keeping mass and power budgets live across a design cycle instead of rebuilding spreadsheets before each reviewnot TetraScience
  • A drone manufacturer that needs requirement traceability for a certification authority but cannot justify an enterprise requirements databasenot TetraScience
  • A university engineering department teaching systems engineering with real traceability under the flat education ratenot TetraScience
  • An electronics-heavy hardware startup wanting requirements linked to the PCB design work happening in Altiumnot TetraScience

Where each one falls short

Documented limitations, not opinions. Every one is a constraint you would hit in normal use.

TetraScience

  • Pricing is scoped on connected instruments and data engineering effort rather than a published unit, so the cost of adding a new laboratory or an acquired site is impossible to forecast without going back to the vendor.
  • Value depends entirely on connector coverage for your actual instrument estate; an instrument type without an existing productised connector becomes a services engagement with its own timeline and cost.
  • The GxP package is a separate annual subscription rather than an included capability, so a company that starts in research and later needs regulated use faces an additional commercial line and a validation exercise.
  • It is infrastructure with no end-user application of its own, so the business case rests on downstream analytics and AI work that has to be resourced and delivered separately before anyone sees a benefit.
  • Deployment is a multi-year programme touching instruments, networks, validated systems and site IT, and organisations consistently underestimate the internal effort required from people who also have day jobs running the laboratory.

Valispace

  • The three-seat minimum means a solo consultant or a two-person startup pays for a seat nobody uses, roughly 3,000 US dollars a year before anyone logs in.
  • Ownership has changed twice in two years, from independent to Altium to Renesas by way of the Altium acquisition, and the technology has been repackaged as the Altium Requirements Portal, so the standalone roadmap is genuinely uncertain.
  • It is not a certified DO-178C or ARP4754 toolchain component in the way established requirements databases are, so highly regulated aerospace programmes may still need a recognised tool alongside it.
  • The parametric model rewards teams who structure their data properly at the start; teams that import a flat requirement list get a slower version of a document tool and none of the budget automation.
  • Integration depth outside the Altium and Jira world is limited, so linking to an existing PLM or a CAD-driven mass properties source usually means writing against the Python API yourself.

Pricing, plan by plan

TetraScience

On request
  • Tetra Scientific Data Cloud$undefined/year
    • Priced on number of instruments connected and scope of data engineering
    • Contract entitles a specified quantity of use for its duration
    • Multi-year enterprise agreements are the norm
  • Tetra GxP package$undefined/year
    • Separate annual subscription executed within the licence agreement
    • Audit trail, data provenance, control matrices and software hazard analysis
    • Disaster recovery provisions

Valispace

$999/year
  • Valispace$999/year
    • Minimum three users
    • Requirements, components, V&V and analysis modules
    • ValiAssistant AI beta
  • Enterprise$undefined/year
    • On-premise deployment option
    • Staging servers with controlled update timing
    • Advanced support terms
  • Education$1000/year
    • Flat annual rate for an institution
    • Unlimited students and professors
    • Non-commercial projects only

Which should you pick?

Choose TetraScience if

  • You need instrument connectors.
  • You work on Web, Cloud, API.
  • You also want tetra data harmonisation.
TetraScience review

Choose Valispace if

  • You need live requirements.
  • You work on Web, On-premise, API.
  • You also want budgets and margins.
Valispace review

Questions people ask

Is TetraScience or Valispace better?
Neither clearly leads. TetraScience starts at On request and Valispace at $999/year, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, TetraScience or Valispace?
TetraScience starts at On request and Valispace at $999/year.
Does TetraScience or Valispace run on more platforms?
TetraScience runs on Web, Cloud, API. Valispace runs on Web, On-premise, API.
What is TetraScience best used for?
TetraScience is most often used for a pharmaceutical company trying to make twenty years of chromatography data usable for modelling rather than trapped on instrument workstations, a biotech building machine learning models on assay data that currently requires manual export from every instrument, a quality control laboratory needing instrument data captured with provenance and audit trail for regulated use, a company consolidating data from acquired sites where each site runs a different instrument vendor and informatics stack. Of those, a pharmaceutical company trying to make twenty years of chromatography data usable for modelling rather than trapped on instrument workstations and a biotech building machine learning models on assay data that currently requires manual export from every instrument are not what Valispace is typically brought in for.
What can TetraScience do that Valispace cannot?
TetraScience covers Instrument connectors, Tetra Data harmonisation, Cloud-native data platform, GxP package. Valispace covers Live requirements, Budgets and margins, Component tree, Verification and validation.

Answered from the vendors’ own pages

TetraScience: What is the pricing unit?

Connected instruments and the scope of data engineering, over a fixed contract term. There is no published per-seat or per-gigabyte rate.

Valispace: Who owns Valispace?

Altium acquired it in December 2023, and Renesas Electronics acquired Altium in 2024. It is therefore a Renesas-owned product, despite frequent reports elsewhere linking it to defence groups.

TetraScience: Does it replace my ELN or LIMS?

No. It sits underneath them, harmonising instrument data and making it available to whatever applications you already run.

Valispace: Is it the same thing as the Altium Requirements Portal?

They share a lineage. Requirements Portal is the Altium 365 packaging of Valispace technology. The standalone Valispace product is still sold with its own pricing.

TetraScience: Is it usable in a GxP environment?

Yes, with the separately subscribed Tetra GxP package. It reduces validation effort substantially but does not eliminate your validation obligation.

Valispace: What does it actually cost?

999 US dollars per user per year with a minimum of three users, billed annually. Enterprise with on-premise deployment is quoted separately.

TetraScience: Can I get the harmonised data out?

Yes. Tetra Data is designed to be accessible to your own analytics tools rather than confined to the platform.

Valispace: Can it replace a requirements database like DOORS?

For small and mid-sized hardware programmes, often yes. For programmes with contractual tool mandates, no.

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