Catalyst

Investment-ready innovation in thirty minutes.

A free-text scientific or technical challenge enters the Catalyst pipeline. Thirty minutes later, a complete portfolio of interconnected project artefacts emerges, including structured problem analysis, prior-art and patent investigation, ideated solutions, commercial use cases, staffing models, development roadmaps, provisional patent frameworks, simulation strategies, funding materials, and communications assets.

Every claim is cited. Every conclusion traceable. Not summaries, deliverables.

Why 30 minutes is possible

Discovery velocity through connected intelligence at corpus scale.

Most research workflows are slow because they depend on retrieval. Search engines crawl. Vector stores rank. Agentic systems loop and iterate to reach material that should already have been in scope. Each loop adds latency. Each retrieval round adds cost.

Catalyst does not retrieve. The corpus is already there. ColossioDB unifies graph, vector, temporal, and geospatial data at over 200 petabytes of scale, with hundreds of trillions of connections. Atomic queries return net unique relevant content in milliseconds - not seconds, not minutes, milliseconds. New content is ingested, mapped, correlated, and joined to the live graph at around two million documents per second.

Every stage that needs evidence asks the corpus a precise atomic question and gets the distilled answer back fast enough that the next stage can act on it immediately. No agentic loops. No partial coverage. No waiting.

Scientific Research Methodology

Structured methodology creates fully integrated project plans.

Each stage of the pipeline builds on the validated outputs of previous stages. Quality and consistency where every artefact strengthens the evidence, context, and precision of the stages that follow.

Problem Definition

Frame the problem before solving it.

Catalyst transforms a single free-text problem statement into a structured map of the problem space, expanding each domain into evidence-backed depth. Every claim is grounded directly in the full corpus, not inferred from training-data memory.

This foundation determines the quality of every stage that follows. Define the problem precisely, and the solution space becomes clear. Define it poorly, and every downstream step inherits the error. Precision at the start drives precision throughout.

Catalyst prompt input
Problem Definition output
Current Solution

The baseline frontier ideation must surpass.

Catalyst constructs the strongest solution achievable today by combining the best components, methods, and practices from the global corpus into a coherent end-to-end baseline. Trade-offs, known limitations, and the capability ceiling of the current state of the art are explicitly defined.

This baseline gives the frontier proposal a rigorous point of comparison. Without it, "frontier" is marketing language. With it, the performance delta becomes measurable, defensible, and reviewable.

Current Solution running
Current Solution output
Solution Ideation

Past conventional. Toward frontier.

Catalyst plans a coherent set of solution components, each addressing a discrete sub-problem and each driving deliberately past conventional answers toward proposed frontier methodologies. The output is not a literature review - it is a candidate solution architecture framed for action.

Chapters are synthesised from connections across the full corpus that a single human reviewer would rarely surface. What used to take weeks of strategy workshops arrives as a structured, citable solution architecture before the morning is over.

Solution Ideation running
Solution Ideation output
Independent Validation

The gate between ideation and execution.

Every chapter is independently validated against external evidence, with each claim scored for evidence strength and maturity horizon. A reconciled executive summary becomes the authoritative source for all downstream stages.

This is the structural checkpoint between insight and action. Nothing advances on unverified material. Speculative elements are explicitly flagged so later stages can distinguish established ground truth from areas requiring original research investment.

Validation running
Validation output 1
Validation output 2
Validation output 3
Development Roadmap

Engineering the transition from concept to implementation.

Catalyst converts the validated solution into a phased implementation roadmap across every chapter, defining milestones, prerequisites, dependencies, staffing, and shared infrastructure requirements. The result is a coordinated programme an engineering team can execute directly.

Because the roadmap is generated from the same validated source as the equipment plan and modelling programme, procurement, milestones, and risk reduction align by design. No stitching, replanning, or cross-team reconciliation is required before execution begins.

Roadmap running
Roadmap output 1
Roadmap output 2
Use-Case Portfolio

Pathway to commercialisation.

Catalyst identifies the most valuable, feasible, and strategically relevant applications for the validated solution. Some emerge directly from the validation process; others are discovered by matching the solution architecture against analogous deployments across the full corpus.

Each use case is evaluated for impact, feasibility, and corpus-confirmed precedent, then ranked, scored, and fully cited. The highest-value opportunities are often the ones not initially anticipated, adjacent domains where structurally similar methodologies solve fundamentally different surface problems.

Use-case portfolio running
Use-case portfolio output 1
Use-case portfolio output 2
Patent Drafting

Securing early priority while preserving strategic flexibility.

Catalyst drafts provisional patent applications for every validated chapter (including title, field, background, summary, embodiments, and initial claims) generated in parallel and grounded in the consolidated validation record. These are structured, filing-ready foundations designed to secure the earliest possible priority date while preserving flexibility for the full application.

This creates a protected development window of up to twelve months, allowing the IP strategy to evolve alongside technical progress and changes in the patent landscape before full filing. It also enables academic publication without jeopardising future patent rights, removing the traditional tension between disclosure and protection.

Patent drafting running
Patent drafting output 1
Patent drafting output 2
Equipment Planning

Defining the infrastructure required for execution.

Catalyst produces detailed equipment specifications across scientific, electrical, mechanical, software, and safety domains for each development area - including performance range, accuracy, resolution, bandwidth, interfaces, compliance, and calibration requirements. Long-lead and high-risk procurement items are identified early, with sourcing recommendations generated for each.

The plan exposes procurement constraints before they become execution bottlenecks. Because it is generated directly from the validated roadmap, procurement activity can begin while engineering work is still being refined. The most time-consuming step, producing fit-for-purpose technical specifications, is completed in the first pass.

Equipment Planning running
Equipment Planning output
Modelling & Simulation

Reducing technical risk before physical implementation.

Catalyst identifies which roadmap activities can be de-risked computationally prior to physical development and sequences the appropriate modelling approaches, including CFD, FEA, control-system modelling, ML surrogates, Monte Carlo analysis, digital twins and discrete-event simulation. Each activity is accompanied by a detailed technical brief with implementation guidance for engineering teams.

Where bespoke modelling code is required, the brief also includes structured prompts for code-generation systems, eliminating the need for clean-sheet development. Because the modelling and simulation programme is derived from the same validated source as the roadmap, the simulation and build programmes remain aligned by construction.

Modelling running
Modelling output
Frontier Recruitment

Building the team required to execute the programme.

Catalyst analyses the complete validated solution to infer the specialist roles required, defines the necessary technical skills and domain expertise, and generates recruitment-ready role specifications grounded directly in the underlying science and engineering programme. The result is frontier-level recruitment language aligned to frontier-level work.

Because the role definitions are generated from the validated roadmap itself, staffing requirements remain tightly aligned with programme needs. Technical specificity is preserved without dilution through generic HR abstraction, improving the ability to attract candidates capable of executing highly specialised work. By the time the roadmap is approved, the recruitment material is already prepared for publication.

Frontier recruitment running
Frontier recruitment output 1
Frontier recruitment output 2
80/20 Acceleration

The fastest route to demonstrable capability.

Catalyst applies Pareto analysis across the validation record and roadmap to identify the small subset of activities that delivers the majority of programme value. The focus is the shortest, lowest-cost path to a credible proof-of-concept or working prototype.

Each high-leverage activity is paired with a concise implementation brief defining what it enables and what can safely be deferred. A comparative timeline contrasts the accelerated pathway with the full roadmap, making the impact of prioritisation explicit before resources are committed.

80/20 Acceleration running
80/20 Acceleration output 1
80/20 Acceleration output 2
Patent Investigation

Evaluating novelty before filing decisions are made.

For each drafted patent, Catalyst decomposes the application into atomic units of meaning, generates minimal self-contained queries, and evaluates the results against the full corpus using structural, functional, and outcome equivalence analysis.

The output is a novelty assessment, freedom-to-operate review, and filing or licensing recommendation grounded in evidence rather than conventional retrieval limits. Filing strategy is informed by what the corpus actually contains - not by best-guess patent searching.

Patent investigator running
Patent investigator output
Pitch Deck

Supporting the funding pathway from grants to Series A.

Catalyst generates investor and grant pitch materials directly from the validated solution, roadmap, use-case portfolio, IP position, and 80/20 acceleration path. Outputs are tailored across the full funding journey - from grants and pre-seed through Seed and Series A, with each stage aligned to the expectations of its audience.

Problem, solution, market, defensibility, roadmap, and funding requirements are populated from artefacts already produced in the same run, with every claim traceable to source evidence. The result is a funding narrative that is internally consistent, evidence-backed, and aligned with the programme being built.

Pitch Deck running
Pitch Deck output 1
Pitch Deck output 2
Project Comms

Consistent messaging across internal and external audiences.

Catalyst creates high-quality project communication materials for both internal and external audiences, including draft press releases for the programme and its components, plus social-media articles tailored to platforms such as LinkedIn and X.

Every output is generated from artefacts already produced in the same run, so messaging stays consistent and aligns perfectly with the core project objectives and structure.

Project Comms running
Project Comms output 1
Project Comms output 2
Common questions

Quick answers - full Q&A on a dedicated page.

Click a question to expand. For the complete set across technical, scientist, and buyer audiences, visit the Q&A hub.

How is the thirty-minute pipeline possible architecturally?+

It is a property of the data layer, not an orchestration trick. Catalyst does not retrieve at run time. The corpus is already structured, correlated, and queryable in ColossioDB - graph, vector, temporal, geospatial unified at 200+ petabyte scale. Atomic queries return net unique relevant content in milliseconds.

How is hallucination prevented?+

Two structural safeguards. Stages 1 and 3 are grounded in atomic queries against ColossioDB. Stage 4 re-checks every chapter's claims against external evidence; weak claims are flagged with low evidence strength and downstream stages know not to lean on them.

What about IP and confidentiality?+

Several deployment models are supported, including configurations where the platform runs entirely within your infrastructure or private cloud with no data leaving your boundary.

How does this affect our existing AI spend?+

Positively. Input tokens drop by 100× or more. Many customers shift the bulk of their inference workload to compact open-weight models in-house. AI spend reductions of 95%+ are routine.

Run a real problem through Catalyst.

Most evaluations run four to eight weeks and produce concrete evidence either way. By the end of the pilot, you typically have several real project archives to assess - not just demonstration material.