AI integrations
- OpenAI
- Anthropic
- document analysis
- classification
- summaries
- search
AI · Development · Consultancy
AI in your stack — for analysis, decisions, and less grind.
Suvariev adds an AI layer to the systems you already run, and writes the software around it: APIs, integrations, and secure services. The point is faster automation, clearer analysis, and less time spent on work a machine can do.
- Analysis
- Better calls
- Automation
- Less busywork
- Systems
- APIs you keep
const ai = connectModel({
into: existingApi,
purpose: "analysis",
});
// Insight in the product, not a separate chat window.
return ai.summarise(records, { for: "decision" });
This week
Queue handled overnight
human on exceptions
From
CRM export → briefing
ready for a decision
TypeScriptPythonOpenAIAnthropicAPIsPostgreSQLFastAPINext.jsAWSintegrationsanalysisautomationREST & GraphQLauth & auditTypeScriptPythonOpenAIAnthropicAPIsPostgreSQLFastAPINext.jsAWSintegrationsanalysisautomationREST & GraphQLauth & audit
Stack
Built around the job, not a favourite model
We look at the work first: what you need to see, decide, or stop doing by hand. Then we add the AI and the APIs that make that possible — in your environment, with your constraints.
Development
- REST & GraphQL
- TypeScript
- Python
- Postgres
- web apps
- workflows
Secure & scalable
- auth
- audit logs
- rate limits
- encryption
- observability
- access control
Services
AI and development, fitted to the work
Integrations, APIs, analysis, automation, and advice — chosen for what you need to see, decide, or stop doing by hand.
Development
APIs & backends
REST, GraphQL, and evented services — typed, documented, authenticated, and built to sit next to the systems you already trust.
Development
Web apps & internal tools
Customer-facing and staff applications so analysis and automation show up where people already work — not in a side portal nobody opens.
Development
Scalable, secure systems
Auth, audit logs, rate limits, encryption, and observability. The unglamorous parts that let an AI feature survive real traffic.
Development
Automation & workflows
Replace manual hand-offs with pipelines: ingest, transform, notify, and keep a person only where judgement is still required.
AI
AI integrations
Wire OpenAI, Anthropic, or the model you already pay for into your product and APIs — for the job at hand, not a generic chatbot.
AI
Analysis & decision support
Turn records, tickets, and reports into briefings you can act on: trends, risks, options, and a recommendation — with a human on the call that matters.
AI
Faster automations
Classify, route, draft, and fill the repetitive steps so queues move overnight and people spend time on exceptions, not copy-paste.
AI
Search & knowledge
Answers over your documents and data, with permissions and citations, so staff stop hunting across drives for the same fact.
Consultancy
AI & product consultancy
Where AI helps analysis, decisions, or automation — and where a simpler API or process is the better answer. A roadmap, not a pitch deck.
Consultancy
Architecture reviews
A hard look at the current stack: integration points, security, scale, and what to build next so the AI layer does not become a sidecar.
Consultancy
Vendor & model choice
Providers and platforms compared against your data, risk, and budget — not a favourite logo.
Consultancy
Team enablement
Workshops and pairing so your engineers can own the integrations, APIs, and operating habits after we leave.
Approach
Fancy where it helps. Strict where it counts.
Your need first
Analysis, a decision, a queue that should run without a person. We size the AI and the software to that job — not to a model we happen to like.
Your systems
We integrate into the CRM, warehouse, and APIs you already run. No parallel product nobody asked for.
People where it counts
Automation takes the grind. A human stays on the call that spends money, changes a record, or needs judgement.
Secure enough to keep
Auth, audit, and scale are part of the build. The AI layer should be something your team can operate after we leave.
Process
Short cycles. Visible progress.
You always know what is being built, why, and what happens if we stop.
01
Discover
We map the work: what you analyse, decide, or still do by hand. Data, systems, constraints — and whether software or AI is actually useful.
02
Design
A concrete stack: APIs, integrations, where AI sits, and where a person stays. Written down before we build.
03
Build
We add it to your environment — secure, observable, and boring on purpose. Automation with a way to stop it if it misfires.
04
Operate
Handover, documentation, and optional support so your team can keep the analysis, the APIs, and the automations running.
About
A team for AI and development
Engagements
Scoped
Delivery
Hands-on
Aftercare
Optional
We add the stack your work actually needs — not a model in search of a job.
Suvariev helps companies put AI into the systems they already run, and writes the software that has to sit next to it: APIs, integrations, and secure services. The aim is practical — better analysis, clearer decisions, faster automation, less human grind.
We are not a platform. We do not sell seats. Development, AI, and consultancy sit in one place so the architecture, the code, and the operating plan are not three different stories.
If the right answer is a simpler API, a spreadsheet, or “not yet,” we will say so. The goal is better work, not more AI.
FAQ
Before we start
Is this only AI work?+
No. Half the value is development: APIs, integrations, internal tools, and systems that stay secure as they grow. AI is added where it helps analysis, decisions, or automation.
How do you decide what to build?+
From the job. What do you need to see, decide, or stop doing by hand? Then we choose integrations, APIs, and — if it earns its keep — a model. Not the other way around.
Will this replace our team?+
No. The usual result is less copy-paste and faster briefings, with people kept on exceptions and judgement. We design for less grind, not a smaller headcount as the pitch.
Where does data go?+
Wherever you already run, as far as the scope allows. Your keys, your network, access control, and an audit trail. That is part of the design, not a surprise.
How do engagements start?+
A short call, then a written scope. Most work is a fixed slice — a system to ship, a review to deliver — not an open retainer unless you want one.
Can you work with our engineers?+
Yes. Pairing, reviews, and handover are part of the job. The aim is that your team can run the APIs, the integrations, and the automations without us.
Contact
Tell us what you are trying to do
AI, development, consultancy, or a mix — analysis, automation, APIs. A short note is enough — we reply within two business days.