Election risk is global.
Local nuance needs rare expertise.
The window is closing.
Duco gives platforms and AI model builders rapid access to election experts who pressure-test systems and inform integrity decisions across languages and jurisdictions, before election day sets the timeline for you.
Some elections you can plan for. Others arrive without warning.
Every year brings major elections you can see coming, with months to prepare. But readiness is rarely that tidy. Snap votes, off-cycle elections, and sudden political shifts arrive with little warning and can undo a plan overnight. The teams that stay ahead prepare deliberately for the elections they can predict, and move fast when an unexpected one lands.
Brazil and Israel
Two high-stakes national elections in the same month, in languages and political contexts where most platform teams have thin coverage.
US midterms
A full federal cycle under intense domestic scrutiny, where a single mishandled query or viral incident draws scrutiny from both sides of the aisle.
Snap and off-cycle elections
Called with little warning across dozens of markets. Teams are typically caught flat-footed and scramble for in-language insight and coverage.
Where election risk concentrates
The hardest problems are not the ones your integrity team already covers well. They surface in the languages, regions, and contexts where coverage is thinnest and the consequences of a miss are highest.
Models behave differently on election queries by language
A model that answers voting, candidate, and procedural questions accurately in English can produce wrong, outdated, or one-sided answers in other languages. This is especially true for low-resource languages. In an election window, the gap between what your system gets right in English and what it gets wrong elsewhere becomes a public liability.
A one-size-fits-all approach doesn't work
Your largest markets are already well covered. The tier below is a challenge: the many countries where a single, generalized playbook breaks down. Electoral rules, political context, and the way risk actually shows up differ market to market, and a global approach flattens the nuance that matters the most.
One mishandled moment becomes the story
A single bad output or moderation failure during an election, captured and amplified, can escalate faster than any correction. The reputational and regulatory exposure is not evenly distributed: it spikes precisely around election events, and it lands hardest where a known weakness was left unaddressed. The cost of preparation is a fraction of the cost of recovery.
Who We Serve
Trust and safety, public policy, civic integrity, product, and AI safety teams at the world's largest platforms and AI model builders, responsible for navigating elections across multiple markets and languages.
Rare election expertise, on demand
Duco gives you rapid access to a vetted network of election experts across languages and jurisdictions. Depending on what you are building and operating, that takes one of two shapes, and often both.
Election Red Teaming & AI Readiness
We pressure-test how your models handle election queries across languages and jurisdictions: voting procedures, candidate and party information, results, and the adversarial prompts that surface bias or misinformation. Our experts identify where the model is exposed before your users do, with the regional and linguistic depth that generic red teaming cannot reach.
Multilingual, multi-jurisdiction adversarial testing
Evaluation and improved neutrality in model responses
Red teaming around key events, such as debates, elections, and other
Election Integrity Advisory
No team has the resources to maintain genuinely global election coverage on its own. The landscape is fragmented and specialized and treating it as one-size-fits-all creates unnecessary exposure. We give T&S, policy, and civic integrity teams rapid access to vetted in-country experts and landscape briefings, so you can cover both your highest-priority markets and the long tail of everywhere else.
In-country experts and threat briefings, country by country
Policy and enforcement guidance specific to each market
Extends your team across priority and long-tail markets alike
Verified datasets with incumbents, candidates, political entities, and other actors per market
And rapid coverage when a snap election is called
Off-cycle and snap elections are where teams get caught flat-footed. Because our network is pre-vetted and our process is built for speed, we can stand up in-language coverage in days, not months, when an election arrives without warning.
Stated as neutral. Measured otherwise.
In June 2026, a Washington Post investigation tested the models behind the major AI chatbots on political questions designed by researchers. It found clear, consistent leanings that conflict with the neutrality the companies behind them promise.
This arrives as a US executive order requires chatbots to be “neutral, nonpartisan tools.” Measurable political bias is no longer only a research finding; it is a public, reputational, and regulatory exposure. It is also exactly the behavior our red teaming is built to surface, before it becomes a headline.
Leading AI models showed clear, consistent political leanings
Those leanings conflicted with the neutrality their makers promise
Even models marketed as neutral leaned on average across the test set
Source: The Washington Post, June 2026. Models behind the major AI chatbots, tested on researcher-designed political prompts.
One vendor with depth in rare expertise
Rare expertise, sourced fast
Credentialed, in-country election experts identified, briefed, and producing work in days. Not a staffing platform, not a LinkedIn search, but a network built for exactly this.
Genuine multilingual depth
Coverage in the low-resource languages and dialects where model behavior and moderation actually break, not translated approximations of a dominant-language perspective.
Confidentiality by default
We handle NDAs, confidentiality protocols, and expert coordination so a readiness gap never has to become visible inside or outside your organization before it is resolved.
One vendor across functions
Red teaming, advisory, policy, and coverage from a single partner who carries context across your teams, rather than a roster of niche firms to manage under deadline.
Adversarial Red Teaming of an Election-Year Language Model
The Problem
The platform integrity team of a frontier AI company responsible for monitoring geopolitical and election risk needed to understand how its language model actually behaved under adversarial pressure. Not in theory, but in the specific democratic contexts where it would be used.
The concern spanned two distinct markets at once, the United States and the United Kingdom, each with its own parties, candidates, electoral rules, and cultural fault lines. The Client needed to know where the model was exposed before an election cycle could make any weakness public.
200+
Adversarial and neutral prompts designed across two markets
2 days
From engagement to expert kickoff
5 days
To full evaluation delivery
The 2026 Election Readiness Brief
How platforms and AI model builders prepare for a global election year across languages and jurisdictions
A concise brief on where election risk concentrates, what coverage the largest cycles of 2026 demand, and how to close readiness gaps before election day sets the timeline. Written by Duco's election experts.
By submitting this form you agree to be contacted by Duco regarding election readiness services. We will not share your details with third parties.
Inside the brief
The 2026 election calendar and where exposure concentrates
Country-specific risk vectors
A readiness checklist for the weeks before an election
Let's map your 2026 election coverage
If you have specific elections, markets, or systems in mind, or you are trying to work out where your coverage gaps are before the cycle accelerates, book time with our team directly.
What to expect on the call
A brief review of the elections, markets, and languages you need to cover
An assessment of where red teaming, advisory, or both fits your exposure
An overview of our sourcing and delivery process, and timelines
No commitment required, the goal is to inform