This is one of many analyses on competitions as featured in our “Deadly Sins” series. We periodically pick up and analyze protests to offer observations on competitions to learn from these decisions as a case study in competition.
Our latest analysis breaks down the Narcotics and Transnational Crime Support Center (NTC) competition that was protested, and the GAO protest decision was published on June 3, 2026.
Quick Answer: Starlo Innovation, a joint venture of Arlo Solutions and Deloitte Consulting, won a best value trade-off with better mission understanding and integration despite being higher priced by nine percent or over $7 million.
Summary of the Competition and Protest
Starlo Innovation beat DarkStar Intelligence to deliver intelligence analysis services to the Narcotics and Transnational Crime Support Center (NTC). This interagency center, led by the Department of War / Department of Defense, is a key asset to support operations against a variety of organized crime and terrorist organizations. The protest itself centered on allegations of unreasonable evaluation of the technical criteria, use of “unstated evaluation criteria,” and an overall flawed best-value trade-off.
The Overall Evaluation
| Evaluation Criteria | DarkStar Intelligence | Starlo Innovation |
| Technical Subfactor 1 (Facility Clearance) | Acceptable | Acceptable |
| Technical Subfactor 2 (Technical Approach / Mission Understanding) | Good | Outstanding |
| Technical Subfactor 3 (Scenario-Based Questions) | Good | Outstanding |
| Price | $73,023,533 | $80,426,326 |
Technical Subfactor: Intelligence Analysis vs. Mission Integration
DarkStar scored reasonably well, with two strengths converting to Good ratings in two subfactors (facility clearance was pass/fail). Evaluators believed DarkStar had merit in the competency in overall intelligence analysis. It is Subfactor 2 (technical approach/mission understanding) that drives the protest.
When we read the protest decision, one particular passage is key to understanding how a strong bidder with a lower price saw their win unravel.
However, the agency also stated that, “[w]hile the offeror’s approach is strong in many areas, the articulation of their overall depth of experience and understanding of the Law Enforcement partner perspective [] is less developed than their operational and technical descriptions.” Id. The agency found that DarkStar’s proposal “focuses heavily on the [subject matter expert’s] role in understanding NTC roles and authorities, rather than demonstrating a deeper, partner-centric understanding of the [law enforcement agency] missions, structures, and cultures from an integration standpoint.” Id. The agency stated that this “subtle imbalance in [DarkStar’s] approach is the primary driver for the Low to Moderate risk assessment,” as it “presents some risk that additional Government oversight may be needed to ensure a fully empathetic and integration partnership is developed with [law enforcement agency] entities.”
This was the beginning of the end for DarkStar’s chance to win. There seemed to be little doubt that DarkStar could execute competently. We can infer that evaluators wondered whether DarkStar could be part of a team or just provide staff augmentation.
Takeaway: It is often the case in evaluations that risks, even low levels of risk, can undermine the credibility of a bidder. The key here is that the evaluators had doubts that DarkStar could seamlessly integrate itself into the fabric of an organization that was already incredibly complex (defense, federal law enforcement, intelligence agencies) as part of the team and not an “at arm’s length” resource.
Where did DarkStar go wrong?
This was not a case of a weak proposal or a poor solution. Instead, the decisive contrast was in how Starlo described integrating its analysts into NTC, versus how DarkStar described providing intelligence analysis services. Starlo appeared to position itself as a more seamlessly integrated asset and better articulated how to operate in a multi-agency, law enforcement environment. NTC sits at the center of an unusually complex web of relationships, and a less-integrated partner appears to have registered as risk.
Any measurement of risk is fair game and it seems DarkStar alleging “unstated evaluation criteria” does not acknowledge that agencies have great latitude to evaluate risk as a part of its award decision. Further, using numbers of strengths to have specific quantifiable non-cost ratings (Good vs. Outstanding) is very subjective. Based on our experience analyzing hundreds of protest decisions and quantifying strengths to adjectival ratings, two strengths turning into a Good is not at all unusual. Numbers of strengths that convert to specific adjectival ratings vary wildly from agency to agency.
Takeaway: DarkStar may not have understood how important seamless integration is for such a complex organization. We have seen the underpinnings of risk, even in the wake of a solid solution, lead to a loss many times over. Against competitors that did not demonstrate what seems to be a very nuanced understanding of how to operate in a complex organization with many stakeholders, such as NTC, DarkStar might have won. This may have been a gap in the capture effort, not understanding this nuanced expectation to emphasize operating in the law enforcement environment vs. just solid intelligence analysis services and “advice” but to seamlessly operate inside the NTC team.
Best value-tradeoff
We have a modest difference between DarkStar and Starlo’s evaluation, with Starlo having a higher non-cost score and a nine percent higher price. Borrowing language from the protest decision, we have “The protester contends that the Air Force failed to document the reasoning behind its decision to “pay a 9% premium for a marginally higher adjectivally rated proposal.”
The evaluation criteria set the stage, reinforcing that technical subfactors are weighted “significantly more” than price. Knowing that Starlo had a full adjectival rating higher than DarkStar and DarkStar had a low to moderate risk in technical made justifying a nine percent price premium pretty easy to defend. Would Starlo have won with a 20 percent higher price? Maybe not.
Takeaway: Best value trade-offs are very subjective, and with a modest evaluated difference in non-cost scores and price, along with evaluation guidelines that weighted technical well over price, there is little room to win this protest. This could have easily gone to DarkStar if the evaluators wanted them, because in the best value trade-off, they could have argued that a nine percent premium was not worth it and accepted the minor level of risk assessed in DarkStar’s proposal. We’ve seen these competitions go either way and never be sustained.
The FedSavvy takeaway
- Just because something is not explicitly stated in the evaluation criteria does not make it fair game, especially if it is generally consistent with evaluating risk of performance.
- Best value trade-offs are exactly that… a trade-off, and lower-rated and lower-priced proposals can win just as well as higher-rated and higher-priced proposals.
- Did the capture teams swing and miss on the nuanced, complex organizational environment to integrate into, rather than being an advisor? Seems like it.
- Did the capture teams study any evaluation trends for when pricing premiums can be awarded? With the right analysis, this can be done.
How can you avoid losses using competitive intelligence to guide you?
We mine protest decisions among other sources of intelligence to help clients win and not leave money on the table. FedAgency Insight is a report we can deliver to help you analyze evaluation decisions so you can shape your solution. Ask us about this and more competitive intelligence solutions to win your unfair share of contracts. Contact us today!
Frequently Asked Questions
Why did GAO deny DarkStar’s protest?
GAO found the Air Force’s evaluation reasonable and consistent with the solicitation. DarkStar’s proposal was rated Good rather than Outstanding because evaluators identified a “subtle imbalance” in how it addressed the law enforcement partner perspective, which the agency reasonably treated as a low to moderate performance risk.
What is the Narcotics and Transnational Crime Support Center (NTC)?
NTC is an interagency center, led by the Department of War / Department of Defense, that supports law enforcement and other partners in operations against drug trafficking organizations, terrorist groups, and transnational organized crime. The task order for this work was issued by the Department of the Air Force.
Why did Starlo win despite a higher price?
The solicitation weighted technical factors as “significantly more” important than price. Starlo earned Outstanding ratings on both scored technical subfactors versus DarkStar’s Good ratings, and the agency documented that this technical superiority, and the reduced performance risk it represented, justified the nine percent price premium.
What is a best value tradeoff?
A best value tradeoff is a source selection method where the agency can award to a higher-rated, higher-priced offeror if it documents that the technical benefits are worth the added cost. It is not automatically an award to the lowest price or the highest technical score.
Can an agency evaluate something not explicitly spelled out in the solicitation?
Yes, within limits. GAO has long held that an agency may consider matters “logically encompassed by” the stated evaluation criteria, even if not separately itemized. Here, GAO found that evaluating an offeror’s understanding of law enforcement partners was logically part of the stated technical approach/mission understanding subfactor.
What is the practical lesson for GovCon bidders?
A technically strong, lower-priced proposal can still lose if evaluators perceive any integration or partnership risk, however modest. Capture teams competing for interagency, multi-stakeholder work should study how the solicitation frames partner relationships and mission understanding, not just the technical delivery of services.
About the Author
Brian Lindholm is the Founder and Managing Principal of FedSavvy Strategies, a firm he has led since 2012 to help federal contractors navigate complex competitive landscapes. A former U.S. Naval Officer, Brian integrates a disciplined perspective with deep expertise in federal contracting. He is widely recognized as a master of Competitive Intelligence (CI), having designed and led more than 500 Black Hat Reviews while successfully building robust corporate intelligence functions.
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