The Autonomous Intelligence
Layer for Modern Enterprise.
Deploy multi-agent swarms engineered to index, refactor, test and self-heal complex codebases in real time — inside a zero-trust sandbox your security team already trusts.
- >120tokens/secSustained generation
- 99.4%SWE-benchVerified accuracy
- <900mscold startSandbox spin-up
❯nvalt agent refactor --scope services/auth --goal "extract token verification"
- working…
Running in production across
- Fintech Core Banking
- Healthtech Platforms
- Cloud Infrastructure
- Series-C SaaS
- Public Sector
- Global Logistics
Everything an engineering org needs to run agents in production
Not an autocomplete plugin. A full execution layer with repository-scale context, verifiable output, and the isolation guarantees your security review will actually approve.
Repository-Scale Context
2M+ token indexing with full dependency-graph traversal. Agents reason across module boundaries, transitive imports and generated code — not just the file in your editor.
- Context window
- 2M+ tokens
- Symbol lookup
- 38ms p95
- Repo scale
- 1.2M files
Zero-Trust Enterprise Sandbox
Every run executes in an ephemeral, network-policed sandbox. SOC 2 Type II controls, zero data retention, and local node execution for regulated workloads.
- SOC 2 Type II
- Zero data retention
- Private VPC
- BYO keys
Self-Healing Execution Swarms
Agents compile, read the failure, patch and re-verify autonomously — closing the loop before a human ever sees a red build.
- 01compile
- 02diagnose
- 03patch
- 04verify
Universal Tooling
First-class, natively typed integrations across version control, orchestration, cloud SDKs and CI/CD — no brittle shell glue.
- Git
- GitHub
- GitLab
- Kubernetes
- Terraform
- AWS
- GCP
- Datadog
- Jira
- Sentry
- Vercel
- Postgres
Multi-Model Orchestration
A router that sends each sub-task to the right engine: fast drafting, deep reasoning, or an independent verifier that grades the result.
- nvalt-reason-xl46%
- nvalt-flash38%
- nvalt-verify16%
Agentic pull requests
Every change ships as a reviewable PR with rationale, test evidence and a rollback plan.
Continuous codebase sync
Incremental re-indexing keeps the graph accurate within seconds of every merge.
Deterministic guardrails
Path allowlists, protected files and mandatory human approval on sensitive surfaces.
Measured against the work engineers actually ship
Public benchmarks run on the Nvalt evaluation harness, October 2025. Every task is graded by an independent verifier agent — not by the model that wrote the patch.
Comparison matrix
Share of real GitHub issues resolved end-to-end with passing tests.
- Nvalt agentic swarm99.4%
- Single-agent assistants68.1%
- Autocomplete copilots22.4%
Higher is better · n = 500 tasks · verifier-graded
Tool execution visualizer
Pick a prompt to watch the swarm decompose it into verified tool calls.
- repo.index0.8s842 files · 61 call sites located
- graph.trace—payments.v2 → 4 downstream services
- editor.apply—17 files rewritten to v3 client
- tests.generate—12 contract tests added
- sandbox.run—1,904 tests · 0 failures
- git.pr—PR #4901 opened with migration notes
Same ticket, two workflows
Medium-complexity feature request across four files, measured from assignment to a reviewable pull request.
87×
faster to first review
The swarm does not skip steps — it collapses them. Planning, implementation, test authoring and verification run as concurrent agents against the same indexed graph, with an independent reviewer gating the merge.
Built for the security review, not around it
Nvalt was designed for regulated engineering orgs first. The isolation model, retention policy and audit surface are the product — not an enterprise add-on.
End-to-end cryptographic isolation
Per-tenant envelope encryption with customer-managed keys. Source never leaves the boundary you define — in transit, at rest, or in agent memory.
Zero data retention
Prompts, diffs and execution traces are destroyed when the sandbox terminates. Nothing is retained for training. Contractually guaranteed.
Dedicated enterprise clusters
Single-tenant inference and execution planes in your region, your VPC, or fully air-gapped on your own hardware.
Provable audit trail
Every tool call, file read and model invocation is signed and streamed to your SIEM. Reconstruct any agent decision, months later.
Isolation model
Four nested boundaries. An agent can only reach what the layer above it explicitly grants.
Your VPC boundary
Private networking · no egress
Ephemeral sandbox
Destroyed on completion
Agent execution plane
Scoped tool permissions
Repository graph
Read-only · path allowlisted
Default deny · explicit allowlists · signed audit stream
- SOC 2 Type II
- ISO 27001
- GDPR + DPA
- HIPAA ready
- Private VPC
- SSO / SCIM
From zero to a merged pull request in four commands
The runtime is a single binary and an API. Index the repository, describe the outcome, and review the pull request the swarm opens.
# install the agent runtime npm i -g @nvalt/cli # authenticate against your workspace nvalt auth login --workspace acme-eng # index the repo, then hand it a goal nvalt index . nvalt agent run "harden the auth module and add regression tests" \ --swarm 4 --sandbox private-vpc --open-pr
Put a swarm on your codebase this week
Tell us what you want automated. A solutions engineer will run a scoped pilot against a repository of your choosing — under your isolation requirements, with no data retained.
Talk to us directly
Partnerships, security reviews and procurement all route through the same desk.
- Support & partnershipsadmin@nvalt.ai
- Direct line+1 (781) 868-9139
- Headquarters82 Wendell AVE STE 100
Pittsfield, Massachusetts 01201-0766
United States
Executive leadership
Duong Le The
Founder & CEO
Legal entity
Nvalt LLC