ConceptViz vs Evagene: two different meanings of "AI pedigree software"

Short version. ConceptViz (conceptviz.app) is a free, AI-powered pedigree chart maker marketed as "professional genetics pedigree charts instantly" for biology classes, genetic counselling demonstrations, and research use. You describe a family in text and it draws the chart. Evagene is pedigree drawing, management, and modelling, with gesture drawing, a 230+ disease catalogue, integrated BayesMendel cancer risk models, Mendelian inheritance analysis, AI-assisted draft summaries for educational / research review via bring-your-own-key (BYOK) LLMs, a REST API, webhooks, and an MCP server for AI agents. These products sound similar on the surface — both use the phrase "AI pedigree" — but they solve different problems. For teaching and quick visualisation, ConceptViz is a good free tool. For clinical use, Evagene is the fit.

This is an honest, fact-by-fact comparison drawn from the two products' public pages as of June 2026.

How the two products position themselves

ConceptViz is positioned as a friendly, accessible AI chart maker. Its promise is speed: no drawing skills required, free to use, instant output, suitable for biology classes explaining inheritance, for genetic counselling educational materials, and for research papers needing a pedigree diagram without wrestling with specialist drawing software. The "AI" in ConceptViz is generative: it takes a description — "proband is a 42-year-old woman with breast cancer, her mother had ovarian cancer, her maternal grandmother had breast cancer" — and produces a pedigree image.

Evagene is positioned as pedigree drawing, management, and modelling. Its pedigree canvas is designed for live clinical construction with gesture drawing; its disease annotation is structured against ICD-10 and OMIM across a 230+ disease catalogue; its risk modelling runs BRCAPRO, MMRpro, and PancPRO from the BayesMendel suite directly on the pedigree; and its AI is interpretive: Evagene takes an already-built pedigree and produces AI-assisted draft summaries for educational / research review covering key findings, family implications, data gaps, and discussion prompts and literature-linked considerations, using the service's own BYOK Anthropic Claude or OpenAI GPT keys (encrypted at rest with Fernet).

Same phrase, overlapping but differently weighted meanings. ConceptViz's AI makes a chart image. Evagene's AI both reads an existing pedigree (to help draft educational / research summaries) and, via the Evagene Pedigree Builder Custom GPT and MCP server, turns a natural-language family description into a structured, editable pedigree object. The emphasis differs — ConceptViz optimises for a quick teaching diagram; Evagene optimises for structured data you can model and report on — but natural-language-to-pedigree generation is available in both.

Feature-by-feature comparison

The matrix below compares features each product publishes. A tick means the feature is publicly advertised; a dash means it is not publicly listed.

Matrix compiled from publicly available product pages and marketing material as of June 2026. "—" indicates the capability is not publicly advertised and does not necessarily mean it is absent.

Two meanings of "AI pedigree"

The phrase is load-bearing, so it is worth being precise about it.

In ConceptViz, AI generates the chart. You type or paste a description of a family; the AI interprets the text and produces a pedigree diagram. This is generative AI in the most direct sense: input is natural language, output is a chart. It lowers the threshold for anyone — a biology teacher, a student, a researcher writing a paper — who wants a competent-looking pedigree without learning drawing software. It is a pleasant, useful capability for those settings.

In Evagene, AI interprets an existing pedigree. You (or your clinic) build the pedigree with structured clinical data — affected status, ages, diagnoses coded to ICD-10 and OMIM, consanguinity, carrier status — and then ask Evagene's AI layer for an AI-assisted draft summary: "what does this pedigree illustrate about autosomal dominant versus recessive? Which published considerations might be worth discussing for which family members? What data gaps would change the interpretation?" The AI does not invent the pedigree; it reads the pedigree you built and helps draft educational / research text for human review.

Both are legitimate uses of AI. A teacher demonstrating an inheritance pattern to students wants ConceptViz's quick chart-image output. A clinical geneticist drafting a consultation letter wants Evagene's interpretive summaries. Evagene also offers generative natural-language-to-pedigree building (via the Pedigree Builder Custom GPT and MCP), but it returns a structured, editable pedigree object rather than a finished image — so even where both tools accept a text description, what they hand back differs.

Research- and education-grade capabilities that ConceptViz does not claim

ConceptViz is a teaching-oriented chart maker and is honest about that. The capabilities below are the research- and education-grade structure that distinguishes a fuller pedigree platform, and they are what Evagene provides — as an academic, research, and educational tool, not a medical device:

• Structured disease coding. Evagene's 230+ disease catalogue is annotated against ICD-10 and OMIM, so a diagnosis on the pedigree is not just a free-text label; it is a coded reference that drives risk models and downstream reporting.
• Integrated risk modelling. BRCAPRO, MMRpro, and PancPRO run on the pedigree data without re-entry. Mendelian inheritance calculators cover AD, AR, and XR patterns. Batch risk screening sweeps across the entire disease catalogue for a given proband, surfacing conditions where family history crosses an illustrative threshold from published literature (not a recommendation).
• Karyogram viewing for chromosomal abnormality representation alongside pedigree symbols.
• Consanguinity detection using Wright's coefficient of inbreeding, for services working with consanguineous families.
• Secure integration surface. REST API with scoped, rate-limited keys (format evg_ followed by 43 characters, SHA-256 hashed at rest); webhooks with HMAC-SHA256 signatures; LLM keys encrypted at rest with Fernet.
• Structured reports. 4 report types across PNG, SVG, and PDF formats, for educational / research use.

None of this is a criticism of ConceptViz — it is not trying to be a clinical information system. It is a helpful point of clarity for anyone who found ConceptViz while searching for clinical pedigree software and needs to know what the gap actually is.

Where ConceptViz genuinely wins

For teaching, demonstration, and quick visualisation, ConceptViz is fast and low-friction. A biology teacher wanting to put together an inheritance worksheet, a science communicator explaining a family history on a blog, a researcher who needs one pedigree diagram for a figure — ConceptViz saves time. It requires no training, no account hygiene, no data structure. The price is zero.

Evagene is not the right tool for a quick classroom pedigree diagram. Evagene expects you to care about structured data, about disease coding, about audit-friendly representation, about risk models, about integration points. That overhead is useful when you are running a clinic. It is needless when you are explaining autosomal dominant inheritance to a 16-year-old.

Where Evagene fits that ConceptViz does not

Any setting where the pedigree becomes part of the medical record, informs real-world testing or management decisions, or needs to be defensible under professional review. In those settings, the questions shift from "does it look right?" to "is the data coded correctly? which risk model ran and on what inputs? who can see this pedigree and when was it changed? can this pedigree be embedded in our patient portal? can our AI agents query it?" Evagene is built for those questions.

Evagene also publishes an open agent surface that ConceptViz does not. An MCP server (27 tools) lets AI agents such as Claude Desktop and Claude Code read, modify, and analyse pedigrees; the "Evagene Pedigree Builder" ChatGPT Custom GPT turns a natural-language family description into a structured pedigree; and the Related Concepts educational correlation graph (1,100+ associations) surfaces published relationships between conditions, genes, and findings as reference data — not risk analysis or diagnosis. All of this sits within Evagene's research and education framing. As of June 2026, no competitor covered here publishes an MCP server or a Custom GPT for pedigrees.

When to choose ConceptViz

• You are teaching a biology class and want students to see a pedigree corresponding to a described family.
• You need a one-off pedigree image for a figure in a paper, a presentation, or a blog post.
• You are experimenting with generative AI and want to see how natural-language-to-pedigree works.
• Your use is non-clinical and you do not need risk models, structured disease coding, or an audit trail.

When to choose Evagene

• You are running a clinical service and the pedigree becomes part of the medical record.
• You need integrated cancer risk modelling (BRCAPRO, MMRpro, PancPRO) and Mendelian inheritance analysis.
• You want AI-assisted draft summaries for educational / research review using your own LLM keys (Anthropic, OpenAI), not a vendor-chosen model.
• You need REST API, webhooks, MCP, or an embeddable viewer for integration with your clinic's systems.
• You want structured disease coding, consanguinity detection, karyogram viewing, and batch risk screening.
• You want broad import coverage (GEDCOM 5.5.1, JSON, 23andMe, XEG, pedigree image OCR).

Using both together

There is a legitimate hybrid pattern. A genetic counselling student might use ConceptViz in coursework to see example pedigrees quickly and use Evagene when they move into a real clinical placement. A science writer might demonstrate a condition's inheritance pattern with ConceptViz and link out to Evagene for readers who want to understand the underlying clinical software. There is no conflict; the tools live at different altitudes.

Frequently asked questions

Related comparisons and reading

• Phenotips vs Evagene
• Progeny vs Evagene
• genoDraw vs Evagene
• Pedigree drawing software: a practical guide
• All Evagene comparisons
• Clinical genetics pedigree tools: a field guide