One accountable decision owner, supported by dynamically assembled expertise.
IQ256 is founder-led by design. A standing team is effective for recurring work. IQ256 is built for temporary questions: assemble the relevant intelligence around the uncertainty, then disband it when the work is done — with accountability for the recommendation sitting with a person rather than a process.
Kestutis Tauckela
Over twenty years building software and complex systems, including CTO and founder roles. That background is the reason IQ256 reviews decisions rather than producing strategy documents: most consequential software decisions turn on second-order effects that only appear when technical, commercial, and organisational reasoning are examined together.
Recent work has been in applied AI research and development, including the design of multi-model AI workflows — combining several AI systems deliberately rather than relying on a single pass. That research line continues at IQ256.ai; IQ256.com is where it is applied to decisions with money attached.
Every Independent Decision Review is synthesised and reviewed personally. When a report reaches you, one person stands behind its reasoning and its stated limits.
How the model works in practice
- Founder
- Clarifies the decision context, designs the intelligence process, verifies findings, and owns the synthesis.
- Fusion AI and research
- Structure uncertainty, explore alternatives, test reasoning, and close factual gaps under review.
- Independent human experts
- Selected per decision for specific blind spots, briefed with purpose-specific sanitized packets, reasoning independently.
- The client
- Provides the decision context, answers batched clarifications, and owns the decision throughout.
IQ256 does not publish a network size and does not present independent human experts as employees. Capability, not headcount, is what is offered.
Ten principles we work to
We construct the thinking, not just source the people
The work is designing how a decision gets thought through: decomposing it, choosing what can close each part, and reconciling the results. Finding capable people is one input to that, not the product.
Flexible intelligence allocation
Fusion AI, targeted research, independent human experts, and permissioned internal context are directed to wherever information is currently missing — and redirected when that changes.
Marginal information
The question is never “who else could we ask”, but “what would this addition tell us that we do not already know”.
Intelligence avoided counts too
A planned research lane or human expert that can no longer add information is cancelled before execution. More activity is not automatically more value.
Independent reasoning
Human experts form their view before seeing anyone else's. Early consensus destroys the signal we are paying for.
Disagreement is information
Conflicting expert views are reported, located, and explained rather than smoothed into an agreeable summary.
Confidentiality separation
Confidential source material remains controlled through the agreed IQ256 processing plan. Independent human experts receive only sanitized, purpose-limited packets; any third-party AI processing is disclosed and bounded separately.
Simplicity for the client
Complexity belongs on our side of the boundary. Your interface should be an email and a report.
Honest limits
What the review could not establish is stated as plainly as what it could. No manufactured certainty.
Spend according to the consequence of being wrong
Depth follows the stakes. Scope is not inflated because a larger engagement would be more profitable.
Expert quantity is not the value metric. Marginal information is.
The laboratory and the boardroom
IQ256.ai is the research side: AI Fusion, multi-model workflows, and the question of when additional intelligence is worth additional effort. IQ256.com applies that thinking to decisions with money attached.
Independent human experts
IQ256 works with independent human experts selected for specific decision blind spots. Contribution is judged by what an expert adds beyond AI analysis and the other perspectives already in the review.