Palantir Platform

My main use case for Palantir Foundry  involves upgrading some legacy applications to utilize GenAI. We are trying to implement GenAI solutions for unstructured data that we receive in large volumes. Essentially, we are attempting to read this unstructured data and convert it into a structured format, with Palantir Foundry  assisting us in this process through Python transforms and related functions that utilize extracted text from the OCR process. After the OCR process, we apply some AIP logics to this text to transform it into a structured format for meeting our goals.

A specific example of how I use Palantir Foundry for this process begins with the OCR scanning process itself. We scan all the incoming PDFs, Word documents, and images, which are then transferred to our automation set within Palantir Foundry. The automation connects with Python functions, executing the necessary logic to convert incoming data into the formats we need using automation, Python functions, and the code repository in Palantir Foundry. We also utilize Insights for testing processes such as file uploads.

Among the best features offered by Palantir Foundry, I think the ontology stands out as a remarkable aspect for finding everything. From a coder's perspective, everything is integrated, including Git , development IDs, and VS Code, which makes everything seamless. You can work locally on your preferred ID or directly on the Palantir Foundry portal. The integration includes checks and builds, so all aspects are available within Palantir Foundry itself. Datasets within Palantir Foundry function smoothly, with connectors facilitating connections to any data sources, including external ones. Additionally, the automation feature allows for selective control over code functions and scheduling.

In terms of user experience with Palantir Foundry, I find it to be exemplary. It is very easy to work on, although I initially struggled to understand it as this was the first platform with so many integrated features, such as Git  and the VS Code editor.

Palantir Foundry enhances my main use case by allowing us to backtrack all data through ontology, which helps in understanding the objects involved and back propagating to the root cause, aiding in visualizing the entire workflow. It allows us to track our transactions, movements, and workflows efficiently compared to other platforms, providing significant support in this area.

Palantir Foundry positively impacts our organization by being seamlessly integrated and offering easy-to-access features without the need for third-party integrations. Everything is already in place, which benefits developers and subsequently enhances managers' productivity, leading to overall organizational revenue growth.

Palantir Foundry could be improved by making some aspects or features open source, as its current pricing and accessibility pose challenges. Many potential users find it difficult to access, which could hinder tech talent from engaging with this tool.

I notice technical limitations exist, yet when we encounter issues, the Palantir Foundry support team addresses our queries promptly. However, if the team works on previously raised issues to ensure they do not recur, it would enhance overall user experience and reliability.

I have recently started using Palantir Foundry, and it has been almost a year since I began.

Palantir Foundry is stable.

Palantir Foundry's scalability is impressive as it allows us to scale up easily, reflecting its design supporting our expanding use cases without restriction.

The customer support from Palantir Foundry is great, with fast query resolution. However, ensuring that issues do not recur in the future through effective implementation would strengthen the support experience.

Previously, we used standalone tools and services, but after discovering Palantir Foundry, we found it intriguing enough to switch, and our experience has been positive ever since.

Handling initial onboarding and training for Palantir Foundry has been challenging. We face difficulties in accessing resources, which prompts us to arrange training sessions with Palantir Foundry representatives. This remains a concern as we still struggle with resource availability.

Although I cannot disclose specific figures, I can confirm that we have observed a good return on investment with Palantir Foundry, facilitating role transitions within our team and ultimately saving costs and time.

The experience with pricing, setup cost, and licensing has been on the higher side. I believe that if some features were made open source, it would improve accessibility and broaden its market reach beyond just large corporations.

We explored other options before choosing Palantir Foundry, but ultimately, we decided to take a chance on it, and it has turned out positively.

For deterministic outputs, Palantir Foundry performs as expected. However, for non-deterministic results, the responsibility lies with the LLMs we use, which can sometimes affect accuracy.

Palantir Foundry integrates perfectly with other tools I use. While there may be minor issues with external sources, the integrated tools such as IDE , VS Code, and Git operate seamlessly, making our workflow much more manageable compared to standalone tools.

The performance and speed of Palantir Foundry excel when handling large datasets and complex workflows, with the Foundry  dataset significantly aiding in this aspect.

I advise prospective users that Palantir Foundry is an excellent solution for enterprises, but it should become accessible to a broader range of businesses at affordable prices to expand its user base.

My overall rating for this review is 8 out of 10.

My main use case for Palantir Foundry  is to provide an assisted, AI-assisted automation chatbot for the finance team; they reside in corporate finance and they have a lot of manual repetitive work that takes up to two hours to process manually. I have automated it with AI in about under 15 minutes, which was a huge win for them, using Palantir Foundry .

A quick specific example of one of those manual tasks I automated for the finance team is their manual analysis of a vendor before they onboard the company and do business with them. They do a financial capability analysis, which involves extracting data from unstructured PDFs that come in different formats; I used Palantir Foundry to employ the Visual LLM to extract the data in a structured manner. Once I have the data structured, I can create real-time dashboards for them to analyze the vendor in under five minutes.

I mainly use Palantir Foundry to process unstructured data into a structured format for chatbots, and that saves me a lot of time to build chatbots that are accurate, reliable, and answering questions for the users accurately.

Palantir Foundry has positively impacted my organization with over 200 projects completed efficiently and effectively, and they are very complex projects.

While I cannot speak for other projects, I can say that on my projects, I have saved over 100 hours processing multiple different vendors, which is huge for the corporate finance team.

In my experience, some of the best features Palantir Foundry offers include a great UI that is visually appealing, simple, and straightforward. The documentation is clear, and it is very user-friendly for me; I do not have to lose myself in a rabbit hole of documentation unlike Microsoft. I am starting to get tired of Microsoft, but Palantir Foundry has been the perfect solution so far.

What makes the UI stand out for me is the Artificially Intelligent FDE, which is the Forward Deployed Engineer; it is basically an AI within Palantir Foundry that helps me get things done. I think that is the most helpful part of Palantir Foundry, and I did not even need any training; I just had to work through it myself with the FDE, and with a bit of prompt engineering, I was able to get onboard Palantir Foundry very quickly.

I appreciate that Palantir Foundry can seamlessly integrate with SharePoint , which is very helpful for enterprise work, but other than that, nothing else comes to mind.

I really cannot think of any areas where Palantir Foundry can be improved; I think it is perfect.

I believe it is already perfect with FDE, and it is just a matter of continuing to improve AI FDE and making sure that it is a number one priority tool to utilize in Palantir Foundry, because users are naturally going to be inclined to use that.

I have been using Palantir Foundry for the past three months now, and it has been amazing.

Palantir Foundry is stable.

We have yet to find out about Palantir Foundry's scalability, but I am pretty sure it is fairly scalable and should not be an issue.

I have not dealt with customer support directly; I have interacted with representatives, and they have been very supportive.

Before using Palantir Foundry, I used Copilot Studio.

I switched from Copilot Studio to Palantir Foundry because Copilot Studio was very inaccurate, and the documentation was not clear; overall, Microsoft was not meeting my needs.

I have seen a return on investment with fewer developers needed.

I did not evaluate other options before choosing Palantir Foundry; I did not have any other options.

I find Palantir Foundry's accuracy and reliability of output to be fairly accurate; it takes a bit of trial and error. I discovered that Claude Sonnet  4.6 is the best model for unstructured data, and that is more a reflection of the model delivery companies such as Anthropic and OpenAI than of Palantir Foundry itself.

I have no idea what advice to give to others looking into using Palantir Foundry. I would rate this review a 10.

I use Palantir Foundry  to ingest data and create visualizations for decisions.

My favorite thing about Palantir Foundry  is the ability to utilize multiple different types of coding languages and the current updated documentation and help features that are in there have improved pretty significantly and make it rather friendly for use.

The scalability of Palantir Foundry is the part that I love the most. That is why I said that is where my primary focus is, trying to get data and then turn it into information and knowledge and understanding, and more importantly, getting decisions out of it. The scalability is phenomenal.

I think the things that I do not like about Palantir Foundry is not a Palantir issue so much as it is from my company side and what they have commissioned for and have not commissioned for.

With Palantir Foundry, it is a part of the user tools that they provide. Their AI Assist that they use is something I have found that sometimes I get better results for when I do need help and aid. I get better results going to outsourced AI assistance sites such as Gemini , because it seems like AI Assist, which my understanding is it is supposed to be searching and utilizing the documentation for Palantir Foundry, but sometimes it gets kind of confused in the capabilities and it will tell you, 'Oh, you can use this and do this.' And then when you try it, the system says, 'We do not support this.' Whereas I can go to Gemini  and it will give me a workaround that will actually work.

I have been using Palantir Foundry for about four years now.

I find the stability of Palantir Foundry to be extremely stable. I have had only one time period where there was any downtime that I noticed, and it was for a very short period of time. When I say short period of time, I am talking within hours, not days.

I have contacted the technical support or customer support of Palantir a couple times.

Especially for what they are supporting and doing, I find the quality and the speed of the support to be extremely fast. I usually get within a day turnaround and the support staff are extremely knowledgeable and good at what they are doing.

Prior to using Palantir Foundry, I used various different SAPs and ERPs where I would actually have to export worksheets and then build my own. The closest thing I would be building would be databases that just resided on my computer, and I was not using anything like Palantir Foundry.

The initial deployment of Palantir Foundry was super simple.

It did not take me any time to fully set up Palantir Foundry because it was made available to us and it was basically already set up and rolled out by the time I got permissions to use it. All I had to do is basically create an account. Actually, I did not even do that. Someone else in my organization created the account for me with the initial setup of everything. By the time I logged in and went to use things, most of it was already initialized for me.

Palantir Foundry requires no maintenance on my end as it is taken care of by Palantir. The only thing I ever get, and Palantir already does it, is when there are certain upgrades to transformations that I have made, they will put in the upgrades, but it requires me to actually approve them and merge them in. It is minimal work on my part. Usually I can click it and just approve it right away.

I would rate this product a 9 out of 10.

My main use case for Palantir Foundry was with respect to the customer onboarding process, which had been outsourced to multiple teams, and there were multiple data sets that had been outsourced to different teams. Some of the teams were third parties, which were creating a backlog and elongating the process. My job was to streamline all the data into one universe, utilizing Palantir Foundry to centralize the data and information in one place to find insights where we were having backlogs for smooth customer onboarding. My objective was to utilize Palantir Foundry's data centralization capabilities to identify backlogs and situations where we were lacking.

For example, in this process, data was coming from various teams responsible for different objectives. For onboarding a new customer, there is a process known as KYC, where we need to identify the customer's details, which are usually transferred to third parties, and some in-house KYC teams must review them. Generally, when third-party cases come to the banks, they are unable to find out why a particular customer is not being onboarded. I tried to merge the data into a central place to find out the reasons, such as why the data is not being updated from third-party sources. The information sometimes lacked advance details from third parties and other sources. Additionally, I was able to map the entities, including cases where customers were not onboarded due to specific reasons related to their past profiles with other banks. These scores were not highlighted by the sales representatives, who were told to meet targets. I was able to track these and identify the pain points of why a customer had not been onboarded or entertained by the banks.

One of the best features Palantir Foundry offers is the Ontology part. It allows mapping different data from different domains and teams into one place, creating relationships between them. For example, I was handling sales data, but there was also customer profile data, financial profile data, and previous transactions data, which I mapped in one place.

Palantir Foundry helped by creating a reporting system that was fast. Previously, we waited for at least a week, but now everything was available in one place with all insights.

Palantir Foundry's governance and security are good, which is a main aspect that people prefer. Providing online data of in-house security to clients would be beneficial amidst increasing cyberattacks. Palantir Foundry's use has been impactful as the company is a vendor for a banking client who utilized it effectively.

To improve Palantir Foundry, I would recommend integrating AI capabilities. Although AI is currently available, having simple general language query features would be useful for end-users. Palantir Foundry's unique selling point is creating a universe, which should remain, but adding a query option would be beneficial.

Palantir Foundry's reporting capabilities can also be enhanced to function more in the manner of a BI reporting tool, which would be a valuable addition.

One downside is the absence of many users familiar with the platform. The cost of using Palantir Foundry is another factor that clients consider, which I accounted for when rating the solution as eight out of ten. Palantir Foundry should address pricing to make it more competitive.

Training resources for Palantir Foundry should be increased to facilitate product growth and build a community that can expand its use.

I have used Palantir Foundry  for one and a half years in one of the projects for my banking client, where I worked upon the creation of pipelines in Palantir Foundry , replacing their absolute systems.

Palantir Foundry's scalability is such that it can handle growing data and user needs easily. The implementation was not very complicated because our in-house domain data was not that large. I did not find any issues with stability.

Palantir Foundry's scalability is such that it can handle growing data and user needs easily. The implementation was not very complicated because our in-house domain data was not that large. I did not find any issues with scalability.

My experience with customer support for Palantir Foundry is that I have not interacted with them much. I did have a single interaction when I faced an issue with my login credentials. The chat system available was helpful, and the problem was solved efficiently. It was a satisfactory experience.

Before using Palantir Foundry, we had our in-house centralized reports, but there was no centralized system that connected different domains and data in the manner that Palantir Foundry does. This connectivity is a key benefit that Palantir Foundry brought to us.

Before choosing Palantir Foundry, we considered Microsoft Fabric  as we were using Power BI. However, I found Palantir Foundry more useful and stable, leading us to choose it over the former.

Both time and money were saved since a project that would usually take six months was completed in two to three months. This allowed us to allocate time to other projects as well.

My experience with pricing, setup cost, and licensing for Palantir Foundry was challenging for us. Getting approval for pricing and setup cost was difficult. We obtained initial phase approval, but later budget requests for other projects were not accepted by the board. Palantir Foundry should reconsider its pricing strategy to become more competitive.

Before choosing Palantir Foundry, I truly thought of Microsoft Fabric  because we were already using Power BI. In comparison to Palantir Foundry, I found it more useful, and it was stable, so we went with Palantir Foundry.

My advice to others looking into using Palantir Foundry is that they need to be clear on what aspect they want to utilize Palantir Foundry for, whether for app development or data connection. Without a clear objective, using Palantir Foundry might not be beneficial. Those with the need to integrate different partners and domains into a common platform will find it valuable.

Palantir Foundry should provide more training resources for people who are in the market so that the product can grow. Additionally, consideration should be given to building a community to expand Palantir Foundry's use. I rated this solution an eight out of ten.

I am currently a data analyst using Palantir Foundry  as an end-user for developing apps, forums, dashboards, and manipulating the data internally.

My usual use cases for Palantir Foundry  mostly involve developing specialized apps, particularly in Palantir Slate. I am deeply using Palantir Slate, developing forums, dashboards, and specific applications. I currently have four short videos on my PC showing what I have accomplished in Palantir, although they are blurred due to company policy. On the technical side, I do the coding in JavaScript and develop using HTML and CSS to create my own widgets. Additionally, my first use case for Palantir Foundry was using the Contour app and the report app, and I can share those videos if you write to me on my LinkedIn profile.

The most valuable features of Palantir Foundry for my use cases are the Slate application and Contour, as the latter allows me to manipulate data ninety-five percent without knowing coding. I can transform data however I want and use the data set along with the pipeline builder to manipulate data flow and updates. My favorite tool remains Slate for developing forums and dashboards exactly how I want them to look.

I have noticed that Palantir Foundry cuts down the time of usage by automating forms and dashboards. However, a disadvantage is the challenge of connecting data to and from Palantir, which requires coordination with data engineers. It takes time, and a data analyst should not be responsible for connecting data; that is the role of the data engineer. I handle data manipulations myself based on customer requirements, ensuring I know how to aggregate, manipulate, and summarize it.

While I do not have specific suggestions for improvements or enhancements, after using Slate, I realized it provides the freedom to create websites. However, I found the Object Explorer and related apps limiting, as they confine me within boxes, restricting proper manipulation. If the Object Explorer and its related apps offered the same flexibility as Slate, it would greatly improve the experience. Although one does not need coding knowledge for Object Explorer, an understanding of primary and secondary keys is still required. Those unfamiliar with coding may require specific training for Object Explorer. Slate, by contrast, requires coding knowledge, including JavaScript, HTML, CSS, and how to connect data within and outside of Palantir Foundry. With this knowledge, I gain full flexibility in developing websites and can create my own widgets using CodeSandbox, which works much faster than using the predefined Palantir Slate widgets. For example, Palantir Slate allows about one thousand two hundred widgets, and performance suffers when limits are exceeded. However, by creating an HTML table with multiple widgets in CodeSandbox, performance remains excellent, illustrated by my application with over one thousand five hundred widgets on one page.

I have been using Palantir Foundry for about seven years.

The reliability and stability of Palantir Foundry is great; it remains stable as long as I do not accidentally create an infinite loop, which can cause the application to freeze. With a stable internet connection, everything works perfectly.

Palantir Foundry has proven to be a great tool in terms of scalability for me, especially compared to Power BI, which felt inadequate. Its scalability depends on the Slate application; essentially, I am only limited by my imagination. I have not explored machine learning features yet, such as three-dimensional visualization in Palantir Foundry, but in two-dimensional space, when developing forms or dashboards, I can copy and paste data from Excel, which then builds visual representations and drawings, demonstrating that the only limit is my creativity.

I communicate with the technical support of Palantir Foundry less frequently these days. My last interaction occurred when I created a forum for BP's data request support, where some users did not receive email notifications. I discovered that the issue stemmed from a Microsoft connection limitation affecting users connected to more than one thousand distribution lists. I have advised those affected to reduce their connections to stay below the threshold, which should allow the system to properly update and ensure they receive notifications.

Regarding the technical support team at Palantir Foundry, I would rate it around seven. It varies depending on the level of support and the responsiveness of the team. Sometimes it may take days to hear back, while other times I receive answers in as little as fifteen to twenty minutes. Developing apps using Slate can be particularly challenging since not many people have experience with it compared to other applications. When I seek help regarding code in Slate, it can take considerable time for the team to find the right answer or documentation, especially since the responses depend on the level of support provided, and specific queries regarding coding usually require reaching out to more experienced developers.

Before Palantir Foundry, I had some experience with HTML and CSS, as well as Macromedia Flash long ago. However, I mainly used Microsoft Excel, which I enjoyed and used to develop a forum in Excel.

I decided to stop using Excel and start using Palantir Foundry because my ex-line manager suggested I try using Palantir to manipulate data and create reports. Gradually, with some support and visits from Palantir representatives in Azerbaijan every few months, I learned more about how to use it. I even took a Python course on Coursera from the University of Michigan and completed an eighteen-month data analytics course supported by BP, where I also learned about machine learning that I may use in Palantir Foundry someday.

I did not participate in the initial setup of Palantir Foundry or the installation process. I consider myself an experienced user, as colleagues come to me in Azerbaijan for questions about applications. While I can help with applications I have developed, if responsibility falls to someone else, I need to take time to review and consult with my line manager to understand it better.

Palantir Foundry was suggested to me by my manager, and as I started using it, the adoption increased, with more apps being integrated. I have heard that BP also uses AWS , but it seems somewhat limited. I directly asked if there is anything in AWS  that is similar to the Slate application, and they mentioned there is one, but BP management did not want to pursue it for some reason. I am a developer and coder, so I cannot elaborate on that.

I do not know anything about the pricing of Palantir Foundry; it is managed by the company's finance management. I am a user, but after using Palantir Slate, I noticed a large advertisement within the company concerning Power BI, which I strongly dislike. It seems that anything free, such as Power BI, cannot be sufficiently effective. I would rate this review with a rating of nine overall.