Viacheslav Kostin
CEO WislaCode Solution
Request our pitch deck
See what we build, how we deliver, and why fintech teams work with us.
AI-Driven Search Tools Development
At WislaCode, we design and build AI‑driven search tools that help organisations find, understand and act on their data quickly and securely. Our team delivers end‑to‑end solutions, from discovery and relevance modelling to deployment and ongoing optimisation – so information retrieval is accurate, fast and privacy‑preserving.
AI-Driven Search Overview
AI search combines semantic understanding, ranking models and domain context to return precise, relevant results. It is essential for teams aiming to simplify knowledge management, speed up decision‑making and improve user experience across web and internal systems.
Our AI search development services span discovery, data connectors, modelling, evaluation, deployment and support – ensuring each solution is effective at launch and scalable as usage grows.
Generative AI for answers, not just links
We apply retrieval-augmented generation to produce concise, source-linked summaries and step‑by‑step answers. Prompts and models are tailored for the domain. They have guardrails to filter sensitive data, keep the right tone, and stop unsupported claims. Users get clear, actionable responses inside the flow of work, while editors retain control over which sources are eligible.
Security and governance by design
Data remains within your boundary – deployed in your cloud or on‑prem. Role‑based access, SSO, encryption in transit and at rest, and tamper‑evident audit logs protect sensitive content. Policies for data residency, retention and redaction are enforced centrally and applied consistently across connectors.
Semantic search that understands your domain
Vector search, metadata boosting, and intent detection surface context‑aware results across documents, wikis, tickets, CRM and data stores. Signals such as user role, recency, and popularity refine ranking. The outcome is faster discovery and fewer zero‑result queries without manual tagging overhead.
Observability and relevance analytics
Dashboards reveal search patterns, zero‑result terms, click‑through and dwell metrics, plus answer quality signals for generative responses. A/B testing and evaluation sets help track improvements over time. This way, content owners and product teams can focus on fixes that boost task completion and lower support load.
AI-Driven Search Solutions
We deliver custom AI search tools that unify scattered sources – documents, wikis, ticketing, CRM and data stores into a single, secure index. Data remains within your controlled environment with role‑based access, encryption and audit trails for peace of mind.
Query understanding, embeddings and intent detection surface context‑aware answers rather than generic matches. Signals such as user role, recency, popularity, and metadata improve ranking quality, reducing time to the right information.
Connectors and APIs integrate seamlessly with your existing systems, enabling near real‑time sync without disrupting operations. This approach lets you leverage current data sources while adding advanced search, filtering, and answer extraction.
Distributed indexing, caching, and event‑driven pipelines support growth in users, data volume, and query load. The architecture can scale horizontally. It works in your cloud or on-premises. It also offers high availability and versioned interfaces.
Built‑in analytics reveal search patterns, zero‑result queries, click‑through rates and content gaps. Dashboards and exports support continuous improvement of relevance, content quality and knowledge management practices.
Hire a cost-effective team of developers
Management & Analytics
Cost of works management and analytics team
€
18-50
/man-hour
Project management
System analytics
Business analytics
The project team will be formed after the software development roadmap is approved.
Developers
Cost of works development team
€
22-65
/man-hour
Mobile app development (Android, iOS)
Backend software development (Java)
Frontend development (JS, React)
Database development
DevOps
The project team will be formed after the software development roadmap is approved.
UI/UX and Testing
Cost of works UI/UX and testing team
€
14-56
/man-hour
UI/UX design
Manual software testing
Automated software testing
The project team will be formed after the software development roadmap is approved.
How we deliver AI‑driven search tools?
We look at your needs, choose the right technologies, and set a project timeline.
Analysis
Planning
We test thoroughly at every stage to ensure performance, reliability and security.
Quality assurance
We create user‑friendly interfaces and robust back-end systems to ensure smooth operation and accurate data.
System Design
We create and launch the AI search tools, ensuring they work well and align with your requirements.
Launch
Example of project realisation
Our AI-driven search tools offer all the development services you need in one complete solution.
We have a lot of experience in AI search technology. So, we are sure we can provide custom solutions that fit your needs.
Why WislaCode?
We tune ranking and prompts to your terminology, products and workflows. Offline evaluation sets and live A/B tests help make sure improvements lead to higher task completion, not just better demo scores.
Relevance that reflects your business
Pre‑built connectors and stable APIs link to SharePoint, Confluence, CRM, ticketing and data warehouses. Event‑driven sync and idempotent operations preserve integrity while avoiding brittle point‑to‑point links.
Integration without disruption
Solutions run in your cloud or on-prem, with strict RBAC, SSO integration and encryption throughout. We document controls for audits and align with your privacy, retention and data residency requirements.
Secure deployment
Your data stays yours
We ship with observability, relevance KPIs and error budgets. Regular review cycles target zero‑result terms, content gaps and slow queries – turning analytics into concrete backlog items and steady gains.
Measurable optimisation
FAQ about AI‑driven search tools
Keyword search matches strings, AI‑driven search understands meaning and intent. Using embeddings, metadata signals and domain context, it retrieves semantically related content and can generate concise, source‑linked answers. For users, that means fewer reformulations and faster task completion. For teams, it reduces support tickets and duplicate content because people find what they need without guesswork.
Yes. We deploy in your VPC or on‑prem with containerised services, keeping content and embeddings inside your boundary. Role‑based access maps to your identity provider, and encryption protects data in transit and at rest. This approach satisfies data‑residency and compliance needs while giving you the flexibility to scale horizontally as usage grows.
We implement RAG with curated indexes, strict source filtering and prompt templates that require citations. Guardrails reject answers when confidence is low, and fallback behaviours serve traditional results. Offline evaluation sets and human review are used to tune prompts and thresholds. In production, we monitor answer quality, citation coverage and user feedback to keep responses trustworthy.
Typical pilots land in 6–10 weeks, depending on connector complexity and governance reviews. A first release includes priority connectors, semantic search with facet filters, basic generative answers and dashboards for zero‑result and click‑through metrics. Subsequent sprints add more sources, refine ranking and expand guardrails, guided by real usage data.
We use well‑maintained connectors or build adapters where needed. Incremental crawls and webhooks keep indexes fresh without overloading source systems. Normalisation and de‑duplication ensure consistent results, while access controls mirror the source so users only see what they’re entitled to.
Absolutely. We can supply AI search engineers for discovery, connector development, relevance modelling, RAG pipelines and MLOps. Engagements range from targeted augmentation to full delivery squads, all working within your tooling, coding standards and CI/CD pipelines for a smooth handover.
Security is built in: least‑privilege access, SSO integration, encryption everywhere and tamper‑evident audit logs. We support data classification, redaction and policy‑based exclusions so restricted content is never indexed or surfaced. Detailed runbooks document controls for audits, and we align with your privacy frameworks and retention rules.
We track core KPIs such as zero‑result rate, click‑through, dwell time, reformulation rate and answer acceptance for generative responses. Offline evaluation (MRR/nDCG on curated sets) and live A/B tests validate changes before full rollout. Analytics highlight content gaps and slow queries, and we prioritise fixes that demonstrably lift user success and reduce support effort.
Viacheslav Kostin, CEO
20+ years of experience in managerial positions in IT and banking.
Viacheslav Kostin, CEO
Previous roles: CEO in IT, Director of Strategy and Marketing in Banking, Curator of Holding Banks, Head of Products and Project Office.
Education: MBA for Executives at IMD (Switzerland), Leading Digital Business Transformation (IMD). Provides consulting in strategy and digital transformation.
Vasil Pahomov, CTO
20+ years of experience as a developer, analyst, and solutions architect.
Vasil Pahomov, CTO
Designs resilient, high-load systems with multiple integrations for banks and financial institutions. Expertise in distributed storage and microservices architecture.