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Amass

Amass Services

From first use case to production deployment

Use Amass directly, integrate our API, or engage our team to design, build and operate a scientific intelligence workflow in your environment.

From training and technical discovery to full forward-deployed implementation, we provide the level of support needed to get your team into production.

Engagement scopeIllustrative
ObjectiveGoverned target-research workflow, in production
AccessAmass API · internal data connected
EngagementImplement, with Team Enablement included
PhasesAlign → Design → Prove → Deploy
DeliverablesRunning integration · evaluation report · handover
Every engagement maps to this shape — site vocabulary = SOW vocabulary.
233M+academic references indexed
170M+patents, searchable in one schema
1.2M+clinical trials, continuously updated
8purpose-built cores behind one API

How do we use Amass?

Choose how Amass fits into your organisation

Product access is the first question — the level of support you need is the second. Start with where Amass should live.

Amass App

A ready-to-use scientific research workspace for teams conducting searches, analyses, monitoring and evidence synthesis.

Best for: Teams that want to start immediately without building an integration.

Amass API

Programmatic access to Amass data, search, retrieval and scientific intelligence capabilities.

Best for: Product teams and internal engineering teams building their own workflows, agents or applications.

Embedded Amass

Amass integrated into an internal platform, customer-facing product or operational workflow.

Best for: Organisations that want Amass to become part of an existing product or infrastructure layer.

The two questions, combined

Access is one axis, support is the other. Tap any pairing to see what the engagement looks like.

App
API
Embedded Amass
Enable
Implement
Forward Deploy
Amass API × Implemente.g. API implementation and migration

We build the integration — data mapping, auth, testing — and hand over documented, running code.

How does Amass help us succeed?

Choose the level of support you need

Three engagement levels — from getting your team fluent to an embedded delivery partner. Combined and scoped per engagement, not sold as rigid packages.

Enable

Get your team ready to use Amass effectively.

What's included (7)
  • Stakeholder and use-case discovery
  • Team onboarding
  • Role-specific training
  • Prompt and workflow development
  • API and architecture workshops
  • Governance and usage recommendations
  • Office hours and adoption support

Typical outcome: A trained team, prioritised use cases and a clear adoption plan.

Implement

Move a defined use case into a working production workflow.

What's included (9)
  • Technical discovery and solution design
  • Data-source and workflow mapping
  • API integration
  • Authentication and access configuration
  • Internal data integration
  • Application or agent implementation
  • Testing, evaluation and acceptance criteria
  • Deployment support
  • Technical documentation and handover

Typical outcome: A deployed workflow, integration or application that your team can own and operate.

Forward Deploy

Embedded

Engage Amass as an embedded delivery partner.

What's included (9)
  • Embedded forward-deployed engineer or team
  • Product and workflow design
  • Custom agents, applications and interfaces
  • Scientific evaluation frameworks
  • Data architecture and ontology work
  • Production deployment
  • Monitoring and optimisation
  • Ongoing roadmap and operational ownership
  • Training and internal capability transfer

Typical outcome: A production system delivered and evolved jointly with Amass.

These are engagement levels, not rigid packages — they combine and scope in an order form or statement of work. Enablement may be included in larger subscriptions; implementation and forward-deployed work are normally scoped separately.

The strategic engagement

Build your own *Core

Turn your organisation's knowledge into a dedicated intelligence layer.

An Amass *Core combines selected external data, internal knowledge, scientific workflows and domain-specific logic into a dedicated intelligence environment — designed, built and deployed with your scientific, product and technical teams.

What goes in

Amass datasets and intelligence services
Licensed or proprietary external data
Internal documents, reports and structured data
*Corestructured by your taxonomies, workflows and evaluation criteria

What comes out

Custom agents, applications and monitoring
Governed research and decision workflows
Access controls, governance and full traceability
Possible *Core types (6)

Company Core

An intelligence layer across internal research, assets, programmes and external evidence.

Therapeutic Area Core

Structured knowledge for a disease area, modality or biological domain.

Asset Core

A continuously updated view of a target, molecule, programme or portfolio.

Regulatory Core

Internal and external regulatory knowledge organised around products and markets.

Customer Core

A scientific intelligence capability embedded into a platform or customer-facing product.

Content Core

Controlled access to proprietary content through AI-native search, workflows and applications.

Core engagement options

Core Discovery

What's included (5)
  • Use-case and stakeholder workshops
  • Data and systems assessment
  • Initial domain and workflow mapping
  • Architecture recommendation
  • Pilot and rollout plan

Outcome: A clear *Core specification and implementation roadmap.

Core Pilot

What's included (5)
  • A scoped set of internal and external sources
  • Initial ontology or entity model
  • One or more priority workflows
  • User interface or API access
  • Evaluation with representative users

Outcome: A functioning *Core pilot with documented performance and production requirements.

Production Core

What's included (7)
  • Production data integrations
  • Identity, access and governance
  • Custom workflows and applications
  • Continuous data updates
  • Monitoring and evaluation
  • Training and operational support
  • Joint roadmap

Outcome: An organisation-specific intelligence capability operated independently or jointly with Amass.

What the work is made of

Services across the lifecycle

Discovery & design

Services (6)
  • Executive and stakeholder workshops
  • Use-case identification and prioritisation
  • Technical feasibility
  • Data and systems mapping
  • Success metrics
  • Security and deployment planning

Training & enablement

Services (6)
  • User onboarding
  • Research workflow training
  • Developer and API training
  • Team-specific playbooks
  • Train-the-trainer programmes
  • Recurring office hours

Implementation

Services (6)
  • API and SDK integration
  • Internal data connection
  • SSO and access management
  • Workflow and agent development
  • Custom application development
  • Evaluation, testing and deployment

Operations & optimisation

Services (6)
  • Monitoring and incident support
  • Usage and quality reviews
  • Workflow optimisation
  • New data-source activation
  • Model and retrieval tuning
  • Roadmap reviews and ongoing engineering capacity

The delivery process

How an engagement works

Start where you need to. Most engagements begin with a scoped pilot, but customers with an established specification can enter later in the process. Each phase ends in named, artifact-shaped deliverables — the same ones your statement of work will cite.

  1. 01

    Align

    Establish the business objective, users, systems, constraints and intended outcome.

    Use-case briefStakeholder mapInitial scope
  2. 02

    Design

    Map the workflow, data sources, technical architecture, evaluation criteria and deployment model.

    Solution designDelivery planSuccess metrics
  3. 03

    Prove

    Build a scoped prototype or pilot using representative workflows and data.

    Working pilotEvaluation resultsProduction recommendation
  4. 04

    Deploy

    Complete the integration, testing, security work, training and production rollout.

    Production implementationDocumentationHandover
  5. 05

    Operate

    Monitor, maintain and improve the deployment through an agreed support or forward-deployed model.

    Ongoing optimisationNew workflowsOperational reporting

Who you work with

Forward-deployed engineer

Ships in your repo and your environment — integrations, agents, pipelines.

Scientific lead

Owns evaluation frameworks and domain modelling with your researchers.

Engagement lead

One accountable owner for scope, phases and deliverables — Align to Operate.

Everything runs on enterprise cloud infrastructure in EU regions, through your IT and security review — see how we handle security →

What this looks like in practice

Example engagements

Six shapes an engagement takes — each with the kind of artifact it delivers and where it sits in the vocabulary above.

Internal intelligence workflow

Connect Amass to internal scientific documents and deploy a governed workflow for target, indication or asset research.

Governed workflow · weekly run

12 internal reports linked to 340 external sources
3 new Phase II readouts flagged for review
Every claim cited — DOI, NCT or internal doc id
Delivered as: ImplementAlign → Prove → Deploy

Customer-facing scientific intelligence

Embed Amass into a CRO, CDMO, software platform or marketplace to provide evidence-backed intelligence directly to customers.

» GET /cores/trialcore/records?condition=NASH
» 200 · 38 records · 41ms
» "citations": ["NCT04104321", …]
Delivered as: Implement → Forward DeployAlign → Design → Deploy → Operate

Custom scientific agent

Design, evaluate and deploy an agent for a defined workflow such as asset diligence, regulatory monitoring or clinical landscape analysis.

1Scan 4 cores for KRAS-G12C landscape
2Rank 8 candidates by trial status
3Draft diligence brief · 47 citations
Delivered as: Forward DeployDesign → Prove → Operate

API implementation and migration

Move from an existing search or data provider to the Amass API, including mapping, integration, testing and rollout.

» map: legacy_id → amass record id
» coverage check: 98.4% resolved
» cutover: staged, per workflow
Delivered as: ImplementAlign → Design → Deploy

Organisation-wide enablement

Train scientific, commercial and technical teams, establish reusable workflows and support adoption through recurring office hours.

Adoption plan · quarter one

4 role tracks · 6 team playbooks
Prioritised use-case backlog (11)
Office hours · biweekly
Delivered as: EnableAlign → Deploy

Custom *Core

Build a persistent intelligence layer around a company, therapeutic area, portfolio, proprietary corpus or customer-facing product.

DomainTherapeutic-area *Core
SourcesInternal corpus + 3 cores + licensed data
GovernanceSSO, access tiers, full traceability
Delivered as: Forward DeployAlign → Design → Prove → Deploy → Operate

After the build

Support designed around your deployment

Each engagement level pairs with a support model — same vocabulary, no second menu to learn.

Standard adoption

with Enable

Typically available with team and enterprise subscriptions.

Included (5)
  • Structured onboarding
  • Standard technical support
  • Documentation and implementation guidance
  • Initial team training
  • Periodic adoption reviews

Guided implementation

with Implement

For customers deploying a defined integration or workflow.

Included (6)
  • Named implementation lead
  • Discovery and architecture sessions
  • Configured implementation plan
  • Developer support
  • Testing and launch support
  • Team training and handover

Strategic deployment

with Forward Deploy

For larger, multi-team or business-critical programmes.

Included (6)
  • Dedicated engagement lead
  • Forward-deployed engineering capacity
  • Custom development and integration
  • Joint roadmap and governance
  • Ongoing production support
  • Recurring scientific and technical reviews

The appropriate service level is defined in the order form or statement of work and depends on scope, complexity and the level of ongoing ownership required.

Start with the outcome

Tell us what your team needs to deliver, where the workflow needs to live and how much implementation support you require — we'll recommend the starting point: enablement, a scoped implementation, a forward-deployed engagement or a custom *Core.