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Custom engineering
A chatbot that answers from your documents. Not from its imagination.
Custom engineering
Most chatbots guess. A RAG chatbot looks things up first, in your docs, your policies, your knowledge base, then answers with the source attached. We build them for support teams, operations desks, and employee self-service. And we ship them to production instead of leaving them as demos.
01The work
RAG stands for retrieval-augmented generation. When someone asks a question, the system searches your documents for the relevant passages, hands them to the language model, and the model answers from those passages. Two things follow from that. The answer stays current because your documents stay current. And every answer can point at the passage it came from, so nobody has to take the chatbot's word for it.
02The work
We connect the documents you actually use: PDFs, wikis, help centers, SharePoint, ticket histories. We clean them, split them into passages, and index them so the right passage surfaces for the right question. Messy docs are fine. Most companies' docs are messy.
We test retrieval the way we test software, with a set of real questions and graded answers. If the system can't find a good passage, it says so instead of guessing. That one behavior is most of the difference between a chatbot people use and one they abandon.
Every answer links back to the source passage. Your team can check an answer in one click. So can your customers.
Topic boundaries, PII handling, tone rules. The chatbot answers what it's allowed to answer and hands off the rest. Nothing cleverer than that, and nothing less.
When a question is sensitive, angry, or just too strange for the bot, it routes to a person with the full conversation attached. No dead ends.
We've shipped Arabic-language AI products, so if your users ask questions in Arabic, Urdu, or anything else, the chatbot keeps up.
03The work
Your documents stay in your cloud. We don't train models on your data. And your access rules carry over: if someone can't see a document today, the chatbot won't show it to them either.
04The work
Same four stages as everything we ship: Discover, Validate, Build, Scale. Validation takes two to four weeks. That's a working pilot on a slice of your real documents, not a slide deck. Production takes eight to twelve weeks, depending on how many systems it plugs into. You see it working on your own content before you commit to the full build.
05The work
Start with retrieval. Fine-tuning teaches a model a style or a narrow skill. It doesn't reliably teach it your facts, and it goes stale the moment your documents change. We fine-tune when the job calls for it. Most chatbots don't need it.
06The work
Pilot: $5,000 – $10,000. Production: $12,000 – $30,000. We price it in two stages: a fixed-scope pilot on one document set, then a production build priced on integrations and scale. We'd rather show actual numbers than hide behind "it depends."
$5,000 – $10,000 for a pilot on one document set; $12,000 – $30,000 for production. A pilot on one document set costs far less than a production system with integrations, monitoring, and guardrails. The pricing guide breaks down what moves the number.
Two to four weeks for a working pilot on your real documents. Eight to twelve weeks to production, depending on integrations and approval workflows.
Yes. Documents stay in your cloud, we never train models on your data, and existing access rules carry over to the chatbot.
It says so. Then it offers the closest related topic or hands the conversation to a person. We measure how often this happens during evaluation, and we tune it before launch. A chatbot that admits ignorance beats one that invents answers.
Retrieval first, almost always. Fine-tuning helps when you need a specific style or behavior baked in. We'll tell you during validation if your case is one of the exceptions.
Whatever your documents are written in. We've shipped Arabic-language AI products, and multilingual setups are standard.
Yes, and it usually should. A chatbot that can pull ticket history or log a summary back into your CRM is worth multiples of one that just chats. Connecting systems is most of what we do.
You do. Full source code, pipeline configuration, and documentation, handed over with a handover pack. No license lock-in, no hostage situations.
AI readiness
Ten questions, about three minutes. Find out what needs attention before you build.
08Find the right fit
AI Agents & Workflow AutomationAgents and automations that move work between your systems, with people in the loop.AI integration servicesAdd AI to the software you already run. No rebuild required.
API & system integration servicesYour systems should talk to each other. We make the introduction.Business process automation servicesThe work your team repeats every day, handled.AI DiscoveryA three-week sprint that finds your best AI opportunities and scopes the first one.From AI pilot to productionYour pilot demos beautifully. Production kills it.AI & Data InnovationFind the AI use cases that pay off, then build the data, models and agents to run them in production.EngineeringProduct teams that design, build and modernise web, mobile and cloud-native software from prototype to scale.Machine Learning & GenAIPredictive models and generative features built, tested and deployed like production software.Product EngineeringNew digital products taken from idea to launch by a single accountable team.
Pricing guideApproved ranges and the scope decisions that change the price.
EdTechLearning platforms, assessment engines and LMS integrations built for every classroom.
HealthTechCompliant software that patients and clinicians can rely on, every single day.
eCommerceHeadless storefronts and AI personalisation that convert at scale.
FinTechPayments, ledgers and lending platforms with security and compliance from day one.09Case studies
“What stood out about Distil Stack was their ability to understand the experience we wanted to create for our clients. They approached our coaching platform with attention to both the personal journey and the technology needed to support it.”
Danielle AmosFounder & CEO
“Distil Stack approached the workout timer with a clear focus on functionality and user experience. Their attention to the details of interval training and timing interactions helped shape an application designed to be practical and intuitive during real workouts.”
AppRebel, Inc.Client organization
“Distil Stack demonstrated a strong understanding of the complexity behind a specialized medical education platform. They helped bring together question banks, assessments, resident programmes, rankings, and performance tracking into a cohesive learning system.”
Waleed AlsarhaniFounder & CEO“Our goal was to make personalized learning more accessible to students through technology. Distil Stack understood the educational vision behind Baseet Teacher and approached the product as a complete learning experience, connecting AI tutoring, exam preparation, interactive study tools, and student engagement.”
Abdulsalam AlrehailiFounder & CEO
“We wanted to create more than a marketplace. Distil Stack helped bring together supplier discovery, product listings, messaging, and real-time communication into one mobile experience. Their understanding of our business model was important in shaping the platform.”
Godfrey MsigwaFounder & CEO
“Our platform needed to make invoicing and financial administration straightforward without overlooking important business requirements. Distil Stack approached the solution with an understanding of usability, operational workflows, and the importance of reliable financial processes.”
PatrickFounder“Distil Stack understood the operational demands of managing restaurant employees and developed a solution focused on the details that matter—attendance, shift allocation, working hours, and salary administration. Their approach connected technology with practical workforce management.”
Pepe’s Piri PiriClient organisation
“Distil Stack understood that building a platform for aviation requires more than a conventional application. Their approach focused on translating a specialized business concept into a practical digital product, with careful attention to usability and the needs of different users.”
Isaac NsubugaFounder & CEO
“Distil Stack understood the complexity of our coaching business and helped bring our vision into one connected platform. From programmes and communities to payments, automation, and client management, their engineering approach gave us a stronger foundation for delivering and scaling our services.”
Kim CalvertFounder & CEO
“Distil Stack understood the operational complexity of commercial laundry services and helped shape a platform around our business processes. Bringing customer accounts, credits, laundry status, and service management together created a more connected digital experience.”
Phil AkinFounder & CEO
“Our operations involve much more than booking a moving job. Distil Stack approached the platform with a clear understanding of dispatch, drivers, foremen, customers, and payments, creating a connected system designed around the way our business actually operates.”
Bakhtier AzizbekovFounder & CEO
“Distil Stack understood that a coaching platform needs to reflect the way a coach works with clients, not simply deliver content. Their approach helped translate our coaching experience into a structured digital environment that supports both our clients and our business.”
Maire NawazFounder & CEO
“Managing relocation and visa applications requires coordination, visibility, and careful handling of information. Distil Stack helped translate these complex requirements into a structured platform connecting applicants, administrators, and office teams through a unified process.”
Michael RoeggeCompany representative
“Distil Stack understood that a fashion platform needs to make product discovery feel effortless. Their approach combined the technical requirements of digital commerce with an experience focused on helping customers explore and find products.”
Shauna CashellCompany representative
“Distil Stack helped bring structure to our digital coaching experience while keeping the client journey at the centre. Their ability to connect the technical requirements with the needs of a coaching business made the development process more purposeful.”
Hina KhanFounder & CEO
“Distil Stack approached our education platform as a complete learning and business management solution. Their understanding of course delivery, instructor workflows, enrolments, certifications, and administration helped shape a system built around both student experiences and operational needs.”
TechFiosClient organisation
“Distil Stack understood the importance of creating a digital experience that feels approachable while supporting a meaningful wellness journey. Their work focused on bringing together the technology and user experience needed for a sleep-focused platform.”
Polly RevalienteCompany representative
“Our vision required a learning platform that could combine education, engagement, and administration. Distil Stack brought these elements together through courses, quizzes, exercises, communities, and management tools designed around the learning experience.”
Gary John WallaceFounder & CEO
“Distil Stack understood the challenges of building a financial platform where trust, transparency, and user experience are essential. Their ability to translate complex lending and repayment workflows into a structured digital experience aligned with our vision of making financial support between friends and family simpler and more accessible.”
Dennis CailCEO & Co-founder
Plan the work
We'll tell you honestly whether a RAG chatbot is the right fix. If it isn't, we'll tell you what is. A solutions architect replies within one business day.
