Technical Due Diligence • Technology Risk • Decision-Grade Understanding

The deck says what should happen.

Technical due diligence investigates what reality will allow.

The pitch is optimistic. The model is optimistic. The projections are optimistic. The roadmap is optimistic.

They should be.

Technical due diligence exists to determine which assumptions survive contact with reality.

Start Due Diligence Intake Request Materials

ONTOMICS (noun)

The investigation of constraints, mechanisms, and outcomes across complex systems.

What is technical due diligence?

Technical due diligence is the investigation of whether a technology, system, platform, prototype, model, patent position, research program, or engineering roadmap can support the decision being considered.

That decision may involve investment, acquisition, licensing, commercialization, partnership, grant funding, scale-up, product launch, or strategic deployment.

The purpose is not to create more noise. The purpose is to create decision-grade understanding.

Questions that usually appear before a big decision.

Should we invest?

Capital needs more than excitement. It needs risk visibility.

Should we acquire?

An acquisition can fail when hidden technical, integration, IP, or commercialization risks survive diligence.

Should we license?

Licensing requires clarity around use, ownership, defensibility, technical readiness, and adoption.

Should we partner?

Partnerships fail when assumptions about capability, timeline, integration, or incentives are misaligned.

Should we scale?

Scale reveals constraints that prototypes, pilots, demos, and early customers may hide.

Should we stop?

Sometimes the most valuable diligence result is knowing where not to spend the next dollar.

Assumption Stack Analysis

Every company operates on an assumption stack.

The deck has assumptions.

The roadmap has assumptions.

The valuation has assumptions.

The market model has assumptions.

The technology has assumptions.

The IP position has assumptions.

The team has assumptions.

The customer story has assumptions.

Some assumptions are visible. Others are hidden.

Technical due diligence is often the process of discovering which assumptions are carrying the greatest risk.

The most expensive risks are usually invisible.

The prototype worked.

The manufacturing process did not.

The science worked.

The economics did not.

The software worked.

The organization did not.

The model worked.

Reality changed.

The IP existed.

The market did not.

The customer wanted the outcome.

Not necessarily the technology.

A failed pilot is expensive. A failed acquisition is expensive. A failed scale-up is expensive. A failed manufacturing transition is expensive.

But confidence without investigation is usually more expensive.

What Ontomics investigates during technical due diligence.

Technical Claims

What has been proven, what has been implied, and what remains assumed?

Architecture Risk

Where do dependencies, integrations, interfaces, bottlenecks, and hidden coupling create risk?

Technology Readiness

Is the system ready for the next stage: pilot, production, deployment, funding, acquisition, or scale?

Prototype Validation

What did the prototype prove, and what did it not prove?

Scaling Risk

What breaks under load, production, adoption, field conditions, manufacturing, or customer complexity?

Commercialization Risk

Can the technology become useful, adopted, licensed, bought, funded, or deployed?

Industry-specific technical due diligence.

AI Due Diligence

Model risk, data quality, data drift, deployment risk, governance risk, workflow fit, automation claims, and whether the AI advantage is durable.

Biotech

Biotech Due Diligence

Mechanism risk, replication risk, translational pathway, study design, experimental evidence, IP posture, and commercialization risk.

Software

Software & SaaS Due Diligence

Architecture review, scalability, uptime, technical debt, customer usage, workflow fit, churn signals, and system complexity.

Energy

Energy Technology Due Diligence

Physics, economics, deployment, infrastructure, materials, field testing, unit economics, and scaling constraints.

Defense

Defense Technology Due Diligence

Technical readiness, mission relevance, reliability, procurement fit, operational complexity, dual-use pathway, and failure tolerance.

Mining & Geology

Mining, Geology & Resource Diligence

Resource uncertainty, interpretation risk, geological continuity, data quality, subsurface assumptions, economic viability, and field decision risk.

Manufacturing

Advanced Manufacturing Due Diligence

Yield risk, process instability, throughput, quality variance, supplier limits, equipment dependencies, and production economics.

IP & Patent Due Diligence

Patent position, licensing logic, claim relevance, defensibility, freedom-to-operate concerns, trade secret risk, and commercialization alignment.

Technical diligence outputs.

Every engagement is scoped to the decision, but Ontomics diligence may produce:

Assumption Stack Map

Visible and hidden assumptions ranked by importance and risk.

Constraint Map

The likely limiting factors governing scale, adoption, performance, feasibility, or commercialization.

Failure Mode Review

Trigger conditions, failure pathways, break thresholds, early warning signals, and downstream effects.

Technology Risk Brief

Decision-ready summary of technical risks, confidence levels, unresolved questions, and next tests.

Commercialization Risk Brief

Review of adoption path, customer value, market assumptions, use cases, and deployment barriers.

Decision Options

Proceed, pause, renegotiate, require evidence, fund a test, narrow the scope, or begin deeper diligence.

What to send before a diligence review.

Investor Materials

Pitch deck
Investment memo
Financial model
Board memo
Term sheet context
Customer references
Founder updates

Technical Materials

Architecture diagrams
Technical memo
Product roadmap
Test results
Incident reports
Performance metrics
Prototype data

Commercial / IP Materials

Patent list
IP summary
Grant history
Commercialization plan
Licensing notes
Partner feedback
Market analysis

Technical due diligence FAQ.

Who uses technical due diligence?

Venture funds, family offices, private equity groups, M&A teams, corporate development, strategic investors, boards, founders, and institutions use technical diligence before major decisions.

Is this only for investors?

No. Founders use technical diligence before fundraising, grant submission, acquisition talks, enterprise sales, scale-up, or commercialization decisions.

Is this the same as a code review?

No. Code may be part of the review, but Ontomics focuses on the larger system: constraints, mechanisms, assumptions, architecture, commercialization risk, and decision implications.

Can Ontomics review early-stage companies?

Yes. Early-stage diligence often focuses on whether the central technical and commercial assumptions are plausible, testable, and worth funding.

What is decision-grade understanding?

Decision-grade understanding means enough clarity to make a serious decision: invest, acquire, license, partner, scale, pause, test, renegotiate, or stop.

What is the typical starting point?

A focused 2-week technical due diligence or constraint audit, usually scoped around the highest-risk assumption.

ONTOMICS (verb)

To investigate a system by identifying the constraints that determine its behavior.

Before capital moves, investigate the assumptions.

Before technology transfers, before partnerships form, before patents are filed, before acquisitions close, before scale begins — the assumptions matter.

Build decision-grade understanding.

Start Technical Due Diligence Intake Why Technologies Fail To Scale Constraint Uncertainty