Nash
Autonomic logistics OS: self-optimising AI agents that unify decisioning and execution across fleets, carriers and fulfillment networks.
By Nash · HQ San Francisco, United States · 4.5/5 Value-Position score (estimate)
Positioning guardrails
Best for
- Retailers, grocers and restaurants running high-volume same-day, BOPIS and returns delivery across mixed gig, 3PL and own-fleet capacity
- 3PLs, carriers and DSPs orchestrating multi-client networks that need real-time dispatch and continuous re-optimisation
- Healthcare and cold-chain operators routing Rx, samples and controlled substances under compliance constraints
- Distribution teams doing pallet-level B2B routing against tight delivery windows
- SaaS and commerce platforms that want to embed last-mile decisioning into their own product via one API
Ideal size: Not stated by vendor people · Enterprise or scale-up running multi-site, multi-carrier delivery operations
Not for
- Individual drivers or couriers: Nash is software for businesses and does not hire or contract drivers
- Operations with a single static route and no dynamic dispatch or provider mix to coordinate
- Buyers who need published self-serve pricing and same-week onboarding; Nash is a scoped, sales-led enterprise deployment
- Teams unwilling to share operational data (orders, capacity, SLAs, exceptions) with a third-party platform
Value metrics scorecard
Time-to-Value
Scoped implementation; roughly a quarter
~90 days to first production value
Total Cost of Ownership
On request
Enterprise/custom pricing with no public price list; scoping and quote requested via 'Talk to Nash' (pricing page is a contact-sales form).
Implementation Friction
4/5
Engineering + admin effort required
Value-Position score
out of 5 · model estimate
Full cost breakdown
Mandatory implementation fee
None
Seat tiers
Not published; commercial scope set per account, volume and network
Add-on costs
- None
Company & support
Who is behind Nash, and how your team gets help once it is live.
Company
- Founded
- Not recorded
- Headquarters
- San Francisco, United States
How you get support
- PhoneNot listed
- EmailPlan not stated
- Live chatNot listed
- Support portal / ticketsNot listed
- Community forumNot listed
- Help centre / docsPlan not stated
- Dedicated account managerNot listed
- In person / on-siteNot listed
- Hours
- Not recorded
- Response time
- Not stated
Docs direct integration, onboarding and technical questions to [email protected]; Help Center, documentation and release notes are self-serve. Security and compliance-package requests also route through [email protected]. No phone, live-chat, community or dedicated-manager channel is stated.
“Not listed” means the vendor’s public pages don’t mention that channel, not that it is unavailable. Ask about it during evaluation.
Market position
Where Nash sits against its closest alternatives. Pick any two of cost, speed, friction and buyer score, and up to 9 companies to compare.
Quadrant view
Typical annual cost × Time-to-value
The lines cross at the median of the solutions shown, so about half sit on each side of each line.
Companies on the chart 6 / 10
- Nash
- Jira
- ShipHero
- FarEye
- FourKites
- Staffbase
Add or change companies
Up to 10 companies including Nash. Listed closest first.
Stack fit signal
Compatibility with standard B2B ecosystems.
Ships an official MCP server. Connects to Claude Code, Claude Desktop, ChatGPT connectors and Cursor out of the box.
AI & MCP readiness
What Nash ships in AI, and what it asks of your ecosystem.
AI features shipped
Nash Agent is documented as a natural-language operations copilot that investigates, acts with customer sign-off and runs within guardrails; autonomic AI agents plan, dispatch and continuously re-optimise delivery. No vendor page reviewed states which models Nash runs on, whether customer keys are supported, or how AI usage is logged or exported.
Your data & models
- Trains on your data
- Not recorded — ask the vendor
- Runs on
- Not recorded
- AI pricing
- Not recorded
In your ecosystem
- AI connection
- Official MCP server
- Model key
- Not recorded
- AI usage audit
- Not recorded
Compliance attestations
* IAPP AIGP certifies individuals, not products. It means named staff hold the credential — not that the platform does.
Bottom line
Nash is an AI-native logistics orchestration platform, marketed as 'Autonomic Logistics'. It sits above a company's TMS, WMS, ERP and carrier network and uses continuously re-optimising agents to plan, dispatch and recover first-mile, middle-mile and last-mile delivery across own fleet, 3PLs, gig networks and autonomous capacity, with promise windows, branded tracking and returns. Vendor-reported results: >99% delivery success, 20% lower delivery costs, 100M+ deliveries processed. Pricing is enterprise and sales-led.
Frequently asked questions
What does Nash actually replace or sit on top of?
Nash positions itself above the systems you already run, not as a rip-and-replace. The vendor describes it as orchestration across your TMS, WMS, carrier APIs, ERP and commerce stack, coordinating internal fleet, carriers, 3PLs, store labour, contractors, gig networks and autonomous capacity as one supernetwork. Planning, real-time dispatch, exception handling, fleet decisioning, promise windows, tracking and returns are delivered on that substrate, with one API to 80+ providers plus the option to embed Nash decisioning in your own product.
How is Nash priced, and what does an implementation cost?
There is no public price list. The pricing page is a contact-sales form: 'Talk to Nash' covers a working portal, scoping for your routes, and pricing. Implementation is explicitly scoped with you, including integration and timeline, and the vendor describes learning your operation 'from the inside out'. Expect a sales-led enterprise engagement with a scoping phase rather than self-serve signup; ask for the scoping deliverable and the commercial model (per order, per volume or platform fee) in writing before committing.
How long until we see value in production?
No time-to-value figure is published. The documentation shows a four-step path (API key and sandbox, create an order, dispatch, subscribe to webhooks) and there is a documented simulation mode for testing provider behaviour before real couriers are dispatched, so technical integration can start quickly. However, the commercial motion is scoped per account and explicitly includes learning your operation, so plan for a quarter or more before full production value.
Can we let the AI act on our operation without a human approving every action?
The documentation describes guardrails and confirmations, with the Nash Agent investigating issues and acting 'with your sign-off', scoped to your organisation and permissions. The vendor's legal index also points to an AI Policy covering ethical principles and human oversight on critical decisions. The design intent is continuous autonomy on routing and dispatch decisions inside operator-defined guardrails, with humans setting objectives. Ask for the AI Policy and the workflow configuration options during diligence.
Which integration surfaces should our engineers plan for?
A documented REST API with an OpenAPI spec, sandbox environment, API keys and organisation IDs, plus webhooks for assignment, pickup and dropoff status changes. Documented endpoints cover orders, jobs, quotes, providers, routes, zones and delivery-window booking. The Nash Agent can be reached through Slack, SMS and voice, and the vendor publishes MCP servers (a docs MCP server that is live, with a platform MCP server announced as forthcoming) so external AI agents can connect.
What security and compliance evidence can we request?
The security page states SOC 2 compliance, verified by a third party, with SOC 2 Type II reports available by emailing [email protected] or contacting your account representative. It also documents forced HTTPS/TLS, encryption in transit and at rest, AWS hosting, two-factor authentication for administrative access and key controls. GDPR is named in the compliance/legal documentation. There is no public claim of ISO 27001, HIPAA, FedRAMP, ISO 42001 or CMMC, so those must be validated directly.