The tooling
Proven harnesses.
Wired into your stack.
- Weeks to a working agent
- 4–8Weeks to a working agent
- Native, not bolted on
- MCPNative, not bolted on
- Yours to host and own
- 100%Yours to host and own
Agentic AI
Agents that do the work,
So your team can do more.
We build agents with tools, memory and permissions — systems that read your data, take real actions in your software, and hand off to a human at the point they should.
The agents we build
Two kinds of build, each with the parts we have already solved. Pick the one that matches the work you want taken off someone’s desk.
01
Agents that do the work
One job somebody currently does by hand, wired into the systems that job already touches — the conversations on every channel, and equally the triage, the chasing and the weekly report. It answers from your own data, says where each answer came from, and stops for a person the moment a person is wanted.
Support agent on your site
Answers from your own documentation, with the source linked.
Voice agent on the phone
Inbound and outbound calls, each one recorded, transcribed and summarised.
WhatsApp agent
The same agent where most of your customers already are.
Ticket raising and resolution
Opens the ticket already filled in, and closes what it can itself.
Sales and qualification
Qualifies, books the call, writes the lead into your CRM.
Internal helpdesk
Your SOPs and past tickets, answering staff instead of your seniors.
02
Custom MCP servers, for any system
Model Context Protocol is the standard way an AI client gets safe, typed access to a system. We build the server that exposes yours once, and from then on every AI tool you adopt works through it — with the permissions and the audit trail enforced on the server, where they hold.
Your systems as tools
CRM, database, ticketing, inventory and internal APIs, properly typed.
Permissions on the server
Decided per user and per role, where the rule actually holds.
Writes that are deliberate
Reads run freely; anything that changes state is confirmed and logged.
One integration, every client
Built once, and reused by whatever AI tool you adopt next year.
Hosted wherever it belongs
Your infrastructure or ours. The code is yours either way.
Where an agent earns its place
An agent for the work each team is drowning in
Not one assistant that does a bit of everything. A specific agent, given one job that somebody currently does by hand, wired into the systems that job already touches.
Reconciliation, chasing and the month-end scramble. The agent does the matching and brings you only what refuses to match.
Research, follow-up and CRM hygiene — the work that gets skipped when the pipeline is busy, which is exactly when it costs you.
Answering on the channel it arrived on, from your real documentation, and knowing when to stop and fetch a person.
The repetitive half: briefs, variants, tagging and the weekly report nobody has time to assemble.
Chasing status across systems that do not talk to each other, and telling somebody before it becomes a problem.
Screening, scheduling and the onboarding checklist — the admin around hiring, not the judgement in it.
Confirmations, cancellations and pre-authorisations. The desk work around care, never the care itself.
Reading the long documents and telling you which three clauses are not standard. A first pass, not an opinion.
Triage, on-call noise and the tickets that are the same five questions in different words.
The recurring question somebody answers by hand every Monday, answered from the source instead of a stale export.
Reconciliation, chasing and the month-end scramble. The agent does the matching and brings you only what refuses to match.
Built on proven harnesses, wired into your stack
Every model and framework we would reach for, named. The harnesses below already solved streaming, tool calling, state, retries and tracing, so we build on them and spend the time on the part that is specific to you. Which model runs the job is a decision we make per task and can change later — nothing in the build is welded to one vendor.
- Models
Claude
GPT
Gemini
Llama
Mistral
DeepSeek
Qwen
Ollama
- Agent frameworks
Vercel AI SDK
LangGraph
- Context & retrieval
Model Context Protocol
pgvector
Pinecone
Unstructured
- Orchestration & observability
Temporal
Inngest
n8n
Vercel Cron
LangSmith
Braintrust
OpenTelemetry
Sentry
Tell us the task, not the technology.
The best first conversation is about the work that eats your team's week — not about which model to use. Bring that and we will tell you honestly whether an agent is the right answer.
Or write to info@nectarray.com