AI copilots
Role-specific assistants that help teams draft, analyse, and decide with approved context.
- Role-aware prompts
- Knowledge grounding
- Human review
Generative AI Development
Generative AI products built for useful, governed output
We turn approved business knowledge and workflows into dependable text, image, document, and multimodal experiences—measured for quality, cost, and safety.
Governed AI delivery for teams worldwide
Selected brands and delivery experience
Services
What we build with Generative AI Development
Document intelligence
Extract, classify, summarise, compare, and transform complex documents.
- Structured extraction
- Document comparison
- Validation rules
Content operations
Generate controlled first drafts and variants while protecting brand and approval standards.
- Brand guidance
- Reusable workflows
- Approval routing
Multilingual experiences
Localise content and customer journeys with terminology and review controls.
- Glossary grounding
- Locale workflows
- Quality review
Research workspaces
Synthesize approved sources into structured, citation-led working material.
- Evidence trails
- Comparison views
- Exportable outputs
Product AI features
Embed generation, summarisation, and assistance inside existing digital products.
- Streaming UX
- Usage controls
- Feedback loops
Architecture
Generative AI Development architecture for safe production delivery
400+
Projects
3+
Years
20+
Markets
Production-gradeBuilt to scale
01
Experience layer
A focused interface designed around the user task rather than a generic chat box.
- Structured inputs
- Streaming states
- Editable outputs
02
Prompt and workflow layer
Versioned instructions, reusable steps, and deterministic validation around model calls.
- Prompt versioning
- Output schemas
- Fallback paths
03
Knowledge layer
Approved sources, metadata, permissions, and freshness rules give generation the right context.
- Source controls
- Access filters
- Freshness checks
04
Model gateway
Routes tasks to suitable models based on quality, latency, privacy, and cost requirements.
- Model routing
- Usage limits
- Provider flexibility
05
Evaluation layer
Tests accuracy, relevance, tone, policy compliance, and task completion before scale.
- Golden datasets
- Human scoring
- Regression tests
06
Governance layer
Logs usage, protects sensitive data, and keeps accountable humans in high-impact workflows.
- Audit history
- PII controls
- Approval roles
Process
How we deliver Generative AI Development
A clear, senior-led process from the first strategy call to launch, so every build ships on time and turns into measurable outcomes.
Step 01
Discover and prioritise
Map the workflow, users, data boundaries, failure cost, and the business outcome before selecting any model or platform.
Step 02
Prototype with real inputs
Validate the highest-risk decisions against representative data, edge cases, and human review requirements.
Step 03
Integrate and govern
Connect approved systems with permissions, audit logs, fallbacks, observability, and clear ownership.
Step 04
Launch and improve
Release in controlled stages, monitor quality and cost, then expand only when the workflow proves dependable.
Production AI SystemDesigned to operate,
Designed to operate,
not just demo
Real AI value comes from dependable integration, controlled behaviour, measurable quality, and an operating model your team can own. We prioritise clearer intent flow, faster decision-making, and measurable improvement across high-value pages.
Every experience is engineered on a modern, proven technology stack, so your product stays fast, secure, and easy to scale. From front-end frameworks to databases and DevOps, we pick the right tool for each layer and keep the codebase clean and maintainable.
Clear business objective
Governed data and access
Evaluation before scale
Clean, maintainable code
Mobile-first & responsive
SEO-ready architecture
Secure and scalable by design
Generative AI Development solution blueprints
Outcomes backed by shipping quality and measurable growth
Knowledge work
Secure team copilot
A role-aware workspace for drafting, analysis, summarisation, and reusable business workflows.
Approved contextReusable flowsReview controls
View projectView project →
Document operations
Document intelligence pipeline
Turns incoming files into validated structured data, summaries, comparisons, and review tasks.
Structured outputValidation rulesException queue
View project →
Product experience
Embedded generative feature
Adds task-specific generation to an existing web or mobile product with feedback and usage controls.
Native UXUsage telemetryQuality loop
Why teams choose Solvinex for Generative AI Development
Performance is non-negotiable
We combine product thinking, engineering, integration, evaluation, and governance in one practical delivery system.
Quality before scale
Evaluated output
Quality before scale
Evaluated output
Secure context
Permission aware
Secure context
Permission aware
Cost visibility
Usage controlled
Cost visibility
Usage controlled
Human-centred UX
Designed for adoption
Human-centred UX
Designed for adoption
Choose the right engagement
GenAI Discovery Sprint
- Use-case and data review
- Prototype experience
- Evaluation plan
- Production roadmap
Most Popular
Production GenAI Build
- Application and workflow development
- Knowledge integration
- Evaluation suite
- Secure production launch
GenAI Optimisation
- Quality monitoring
- Prompt and model updates
- Cost optimisation
- New workflow releases
Generative AI Development FAQs
We build task-specific copilots, document intelligence systems, content workflows, research workspaces, multilingual experiences, and generative features embedded inside existing products.
